Data Wrangling

load("data/data_complete.rda") 

str(data_complete)
tibble [3,601 Ɨ 149] (S3: tbl_df/tbl/data.frame)
 $ country                            : chr [1:3601] "ger" "ger" "ger" "ger" ...
 $ country_vector                     : num [1:3601] 1 1 1 1 1 2 2 2 1 1 ...
 $ age                                : num [1:3601] 59 39 47 64 51 40 40 51 56 48 ...
 $ gender                             : num [1:3601] 1 1 1 1 1 2 1 1 1 2 ...
 $ respondent_id                      : num [1:3601] 69 70 71 72 73 74 76 77 79 80 ...
 $ edu                                : num [1:3601] 4 4 6 6 5 5 5 2 6 3 ...
 $ employment                         : num [1:3601] 1 4 1 1 1 1 1 1 1 1 ...
 $ work_hrs                           : num [1:3601] 40 25 40 45 42 45 40 48 60 40 ...
 $ household_size_t1                  : num [1:3601] 2 1 2 2 10 2 1 3 4 3 ...
 $ household_size_t2                  : num [1:3601] 1 0 0 0 0 1 0 0 1 0 ...
 $ tergopag                           : num [1:3601] 1 3 2 4 5 6 7 22 8 15 ...
 $ SC1_DUMMY                          : num [1:3601] 4 3 3 4 4 3 3 4 4 3 ...
 $ GL03                               : num [1:3601] 2 4 3 2 3 3 5 4 4 3 ...
 $ GL04                               : num [1:3601] 3 4 3 3 3 4 4 4 5 3 ...
 $ GL05                               : num [1:3601] 3 4 3 3 4 4 4 4 4 3 ...
 $ GL06                               : num [1:3601] 3 5 3 4 4 5 4 5 5 4 ...
 $ PFA2                               : num [1:3601] 1 5 3 3 4 3 2 4 3 3 ...
 $ PFA27                              : num [1:3601] 1 5 5 3 4 5 2 5 3 3 ...
 $ PFB4                               : num [1:3601] 1 4 5 2 3 5 3 4 2 2 ...
 $ PFB45                              : num [1:3601] 1 5 5 3 4 5 4 5 2 2 ...
 $ PFC8                               : num [1:3601] 4 5 5 4 5 5 3 5 5 4 ...
 $ PFC11                              : num [1:3601] 1 5 5 3 3 5 4 5 4 4 ...
 $ PFC21                              : num [1:3601] 1 5 5 3 4 5 4 5 4 2 ...
 $ PFC30                              : num [1:3601] 1 5 5 3 5 5 4 5 4 2 ...
 $ PFC42                              : num [1:3601] 1 4 5 3 5 5 4 5 5 2 ...
 $ PFC48                              : num [1:3601] 1 5 5 2 5 4 4 5 4 2 ...
 $ PFM1                               : num [1:3601] 1 4 5 2 5 4 4 5 2 2 ...
 $ PFM2                               : num [1:3601] 1 4 5 2 5 5 4 5 1 2 ...
 $ PFM3                               : num [1:3601] 1 4 5 2 5 4 4 4 1 3 ...
 $ PFM4                               : num [1:3601] 1 3 5 2 5 4 4 4 1 1 ...
 $ PFM6                               : num [1:3601] 1 4 5 2 5 4 3 5 3 2 ...
 $ PFM7                               : num [1:3601] 1 5 5 3 5 5 4 5 1 1 ...
 $ PFM9                               : num [1:3601] 1 4 5 3 5 4 4 5 2 1 ...
 $ PFM10                              : num [1:3601] 1 5 5 2 5 3 4 5 1 2 ...
 $ PFM12                              : num [1:3601] 1 5 5 2 4 3 2 4 3 2 ...
 $ PFM15                              : num [1:3601] 1 3 5 3 4 3 3 5 5 3 ...
 $ PFM16                              : num [1:3601] 1 5 5 3 5 5 3 5 4 3 ...
 $ PFM17                              : num [1:3601] 1 4 5 3 5 4 3 5 5 2 ...
 $ PFM18                              : num [1:3601] 1 4 5 3 5 4 3 5 5 3 ...
 $ PFM19                              : num [1:3601] 1 5 5 3 5 5 3 4 2 2 ...
 $ PFM21                              : num [1:3601] 1 4 5 2 3 4 4 4 1 2 ...
 $ PFM23                              : num [1:3601] 1 5 5 3 5 5 3 5 1 3 ...
 $ PFM25                              : num [1:3601] 1 4 5 3 5 4 3 5 2 2 ...
 $ PFM26                              : num [1:3601] 1 4 5 3 5 4 3 5 1 3 ...
 $ PFM27                              : num [1:3601] 1 3 5 1 4 3 3 4 1 2 ...
 $ PFM28                              : num [1:3601] 1 5 5 2 5 3 3 5 1 1 ...
 $ PFM29                              : num [1:3601] 1 5 5 3 4 4 3 5 5 3 ...
 $ PFM32                              : num [1:3601] 1 4 5 3 4 3 3 5 5 2 ...
 $ PFM33                              : num [1:3601] 1 4 5 3 4 2 4 4 4 3 ...
 $ PFM34                              : num [1:3601] 1 4 5 2 5 4 3 4 5 2 ...
 $ PFM35                              : num [1:3601] 1 5 5 3 5 4 3 5 5 2 ...
 $ PFM36                              : num [1:3601] 1 2 5 1 1 3 4 4 1 3 ...
 $ PFM37                              : num [1:3601] 1 5 5 2 5 4 3 5 5 2 ...
 $ PFM38                              : num [1:3601] 1 5 5 2 5 3 3 5 3 3 ...
 $ PFM40                              : num [1:3601] 1 5 5 3 5 3 3 5 1 2 ...
 $ PFM43                              : num [1:3601] 1 5 5 3 5 3 3 5 4 2 ...
 $ PFM44                              : num [1:3601] 1 4 5 2 4 3 4 4 1 3 ...
 $ PFM46                              : num [1:3601] 1 5 5 2 4 2 4 4 4 3 ...
 $ PFM49                              : num [1:3601] 1 3 5 2 4 2 4 4 1 2 ...
 $ PFM51                              : num [1:3601] 1 3 5 3 4 3 4 4 5 2 ...
 $ PFM53                              : num [1:3601] 1 3 5 2 2 5 4 4 2 3 ...
 $ LOI                                : num [1:3601] 270 417 145 377 382 ...
 $ fingerprint                        : chr [1:3601] "cea1837c0711a17369c8942a5bcadeec4267f6e4" "b9b54a80917f967814a1dd6becbc693e90d691ef" "16770596218825c243f8920a64e528f78082897b" "ac9e21ca0053f7e3923c5806372d7289e3baade6" ...
 $ complete                           : num [1:3601] 1 1 1 1 1 1 1 1 1 1 ...
 $ screen                             : num [1:3601] 0 0 0 0 0 0 0 0 0 0 ...
 $ quota                              : num [1:3601] 0 0 0 0 0 0 0 0 0 0 ...
 $ language                           : chr [1:3601] "DE" "DE" "DE" "DE" ...
 $ identifier                         : chr [1:3601] "c610b1af-a5dd-cba3-0887-863bf8baa176" "0962ef0a-499f-9a62-7a22-d849931661d3" "03e6830f-697a-f67d-fe27-b4cd9dfd49df" "7b855f10-df15-250e-9d38-68ae57b217d6" ...
 $ edu_harmonized                     : chr [1:3601] "Upper secondary education" "Upper secondary education" "Higher Education" "Higher Education" ...
 $ SD1HIDDEN                          : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFS1                               : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFS2                               : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFC12                              : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFS3                               : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFC33R1                            : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA1                               : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA10                              : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA11                              : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA13                              : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA14R1                            : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA16R1                            : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA17                              : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA18                              : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA20                              : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA21                              : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA23                              : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA25                              : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA28                              : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA29R1                            : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA31R1                            : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA33                              : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA38                              : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA39R1                            : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA4                               : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA41                              : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA42                              : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA44                              : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA5                               : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
 $ PFA6                               : num [1:3601] NA NA NA NA NA NA NA NA NA NA ...
  [list output truncated]
glimpse(data_complete)
Rows: 3,601
Columns: 149
$ country                             <chr> "ger", "ger", "ger", "ger", "ger",ā€¦
$ country_vector                      <dbl> 1, 1, 1, 1, 1, 2, 2, 2, 1, 1, 2, 1ā€¦
$ age                                 <dbl> 59, 39, 47, 64, 51, 40, 40, 51, 56ā€¦
$ gender                              <dbl> 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 1ā€¦
$ respondent_id                       <dbl> 69, 70, 71, 72, 73, 74, 76, 77, 79ā€¦
$ edu                                 <dbl> 4, 4, 6, 6, 5, 5, 5, 2, 6, 3, 5, 3ā€¦
$ employment                          <dbl> 1, 4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1ā€¦
$ work_hrs                            <dbl> 40, 25, 40, 45, 42, 45, 40, 48, 60ā€¦
$ household_size_t1                   <dbl> 2, 1, 2, 2, 10, 2, 1, 3, 4, 3, 5, ā€¦
$ household_size_t2                   <dbl> 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0ā€¦
$ tergopag                            <dbl> 1, 3, 2, 4, 5, 6, 7, 22, 8, 15, 12ā€¦
$ SC1_DUMMY                           <dbl> 4, 3, 3, 4, 4, 3, 3, 4, 4, 3, 3, 2ā€¦
$ GL03                                <dbl> 2, 4, 3, 2, 3, 3, 5, 4, 4, 3, 5, 5ā€¦
$ GL04                                <dbl> 3, 4, 3, 3, 3, 4, 4, 4, 5, 3, 4, 4ā€¦
$ GL05                                <dbl> 3, 4, 3, 3, 4, 4, 4, 4, 4, 3, 3, 4ā€¦
$ GL06                                <dbl> 3, 5, 3, 4, 4, 5, 4, 5, 5, 4, 5, 5ā€¦
$ PFA2                                <dbl> 1, 5, 3, 3, 4, 3, 2, 4, 3, 3, 4, 4ā€¦
$ PFA27                               <dbl> 1, 5, 5, 3, 4, 5, 2, 5, 3, 3, 4, 4ā€¦
$ PFB4                                <dbl> 1, 4, 5, 2, 3, 5, 3, 4, 2, 2, 5, 3ā€¦
$ PFB45                               <dbl> 1, 5, 5, 3, 4, 5, 4, 5, 2, 2, 4, 4ā€¦
$ PFC8                                <dbl> 4, 5, 5, 4, 5, 5, 3, 5, 5, 4, 5, 4ā€¦
$ PFC11                               <dbl> 1, 5, 5, 3, 3, 5, 4, 5, 4, 4, 4, 4ā€¦
$ PFC21                               <dbl> 1, 5, 5, 3, 4, 5, 4, 5, 4, 2, 5, 5ā€¦
$ PFC30                               <dbl> 1, 5, 5, 3, 5, 5, 4, 5, 4, 2, 5, 5ā€¦
$ PFC42                               <dbl> 1, 4, 5, 3, 5, 5, 4, 5, 5, 2, 5, 5ā€¦
$ PFC48                               <dbl> 1, 5, 5, 2, 5, 4, 4, 5, 4, 2, 4, 5ā€¦
$ PFM1                                <dbl> 1, 4, 5, 2, 5, 4, 4, 5, 2, 2, 4, 5ā€¦
$ PFM2                                <dbl> 1, 4, 5, 2, 5, 5, 4, 5, 1, 2, 5, 5ā€¦
$ PFM3                                <dbl> 1, 4, 5, 2, 5, 4, 4, 4, 1, 3, 4, 5ā€¦
$ PFM4                                <dbl> 1, 3, 5, 2, 5, 4, 4, 4, 1, 1, 4, 4ā€¦
$ PFM6                                <dbl> 1, 4, 5, 2, 5, 4, 3, 5, 3, 2, 4, 5ā€¦
$ PFM7                                <dbl> 1, 5, 5, 3, 5, 5, 4, 5, 1, 1, 5, 5ā€¦
$ PFM9                                <dbl> 1, 4, 5, 3, 5, 4, 4, 5, 2, 1, 4, 4ā€¦
$ PFM10                               <dbl> 1, 5, 5, 2, 5, 3, 4, 5, 1, 2, 5, 5ā€¦
$ PFM12                               <dbl> 1, 5, 5, 2, 4, 3, 2, 4, 3, 2, 5, 5ā€¦
$ PFM15                               <dbl> 1, 3, 5, 3, 4, 3, 3, 5, 5, 3, 5, 5ā€¦
$ PFM16                               <dbl> 1, 5, 5, 3, 5, 5, 3, 5, 4, 3, 5, 5ā€¦
$ PFM17                               <dbl> 1, 4, 5, 3, 5, 4, 3, 5, 5, 2, 4, 5ā€¦
$ PFM18                               <dbl> 1, 4, 5, 3, 5, 4, 3, 5, 5, 3, 4, 5ā€¦
$ PFM19                               <dbl> 1, 5, 5, 3, 5, 5, 3, 4, 2, 2, 5, 5ā€¦
$ PFM21                               <dbl> 1, 4, 5, 2, 3, 4, 4, 4, 1, 2, 4, 5ā€¦
$ PFM23                               <dbl> 1, 5, 5, 3, 5, 5, 3, 5, 1, 3, 5, 4ā€¦
$ PFM25                               <dbl> 1, 4, 5, 3, 5, 4, 3, 5, 2, 2, 4, 4ā€¦
$ PFM26                               <dbl> 1, 4, 5, 3, 5, 4, 3, 5, 1, 3, 4, 5ā€¦
$ PFM27                               <dbl> 1, 3, 5, 1, 4, 3, 3, 4, 1, 2, 3, 5ā€¦
$ PFM28                               <dbl> 1, 5, 5, 2, 5, 3, 3, 5, 1, 1, 4, 4ā€¦
$ PFM29                               <dbl> 1, 5, 5, 3, 4, 4, 3, 5, 5, 3, 5, 4ā€¦
$ PFM32                               <dbl> 1, 4, 5, 3, 4, 3, 3, 5, 5, 2, 3, 5ā€¦
$ PFM33                               <dbl> 1, 4, 5, 3, 4, 2, 4, 4, 4, 3, 3, 5ā€¦
$ PFM34                               <dbl> 1, 4, 5, 2, 5, 4, 3, 4, 5, 2, 3, 5ā€¦
$ PFM35                               <dbl> 1, 5, 5, 3, 5, 4, 3, 5, 5, 2, 4, 5ā€¦
$ PFM36                               <dbl> 1, 2, 5, 1, 1, 3, 4, 4, 1, 3, 4, 5ā€¦
$ PFM37                               <dbl> 1, 5, 5, 2, 5, 4, 3, 5, 5, 2, 5, 4ā€¦
$ PFM38                               <dbl> 1, 5, 5, 2, 5, 3, 3, 5, 3, 3, 4, 3ā€¦
$ PFM40                               <dbl> 1, 5, 5, 3, 5, 3, 3, 5, 1, 2, 5, 4ā€¦
$ PFM43                               <dbl> 1, 5, 5, 3, 5, 3, 3, 5, 4, 2, 5, 3ā€¦
$ PFM44                               <dbl> 1, 4, 5, 2, 4, 3, 4, 4, 1, 3, 3, 5ā€¦
$ PFM46                               <dbl> 1, 5, 5, 2, 4, 2, 4, 4, 4, 3, 3, 5ā€¦
$ PFM49                               <dbl> 1, 3, 5, 2, 4, 2, 4, 4, 1, 2, 5, 3ā€¦
$ PFM51                               <dbl> 1, 3, 5, 3, 4, 3, 4, 4, 5, 2, 3, 5ā€¦
$ PFM53                               <dbl> 1, 3, 5, 2, 2, 5, 4, 4, 2, 3, 3, 5ā€¦
$ LOI                                 <dbl> 270, 417, 145, 377, 382, 399, 169,ā€¦
$ fingerprint                         <chr> "cea1837c0711a17369c8942a5bcadeec4ā€¦
$ complete                            <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1ā€¦
$ screen                              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0ā€¦
$ quota                               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0ā€¦
$ language                            <chr> "DE", "DE", "DE", "DE", "DE", "ES"ā€¦
$ identifier                          <chr> "c610b1af-a5dd-cba3-0887-863bf8baaā€¦
$ edu_harmonized                      <chr> "Upper secondary education", "Uppeā€¦
$ SD1HIDDEN                           <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFS1                                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFS2                                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFC12                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFS3                                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFC33R1                             <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA1                                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA10                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA11                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA13                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA14R1                             <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA16R1                             <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA17                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA18                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA20                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA21                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA23                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA25                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA28                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA29R1                             <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA31R1                             <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA33                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA38                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA39R1                             <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA4                                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA41                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA42                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA44                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA5                                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFA6                                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB1                                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB11                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB22                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB24                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB25                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB26                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB27                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB33                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB36                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB44                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB48                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB50                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB51                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB5R1                              <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB7                                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB8R1                              <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFB9                                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFC10                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFC32                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFC35                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFC37                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFC40                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFC41                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFC6R1                              <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM5                                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM8                                <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM11                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM13                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM14                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM20                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM22                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM24                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM30                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM31                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM39                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM41                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM42                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM45                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM47                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM48                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM50                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ PFM52                               <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NAā€¦
$ global_health_physical_2a_sum_score <dbl> 5, 9, 6, 6, 7, 8, 9, 9, 9, 7, 10, ā€¦
$ global_health_physical_2a_t_score   <dbl> 37.3, 56.0, 41.4, 41.4, 45.0, 50.0ā€¦
$ global_health_mental_2a_sum_score   <dbl> 6, 8, 6, 6, 7, 8, 8, 8, 9, 6, 7, 8ā€¦
$ global_health_mental_2a_t_score     <dbl> 44.4, 52.8, 44.4, 44.4, 48.6, 52.8ā€¦
$ theta_free                          <dbl> -3.2444432, 0.2330870, 2.2691982, ā€¦
$ t_free                              <dbl> 17.55557, 52.33087, 72.69198, 40.1ā€¦
$ theta_promis                        <dbl> -3.54434365, 0.12497211, 2.5752219ā€¦
$ t_promis                            <dbl> 14.55656, 51.24972, 75.75222, 38.0ā€¦
summary(data_complete)
   country          country_vector       age            gender     
 Length:3601        Min.   :1.000   Min.   :18.00   Min.   :1.000  
 Class :character   1st Qu.:1.000   1st Qu.:29.00   1st Qu.:1.000  
 Mode  :character   Median :2.000   Median :40.00   Median :2.000  
                    Mean   :2.167   Mean   :42.04   Mean   :1.543  
                    3rd Qu.:3.000   3rd Qu.:54.00   3rd Qu.:2.000  
                    Max.   :3.000   Max.   :88.00   Max.   :3.000  
                                                                   
 respondent_id        edu         employment       work_hrs    
 Min.   :   69   Min.   :1.00   Min.   :1.000   Min.   : 0.00  
 1st Qu.: 1055   1st Qu.:3.00   1st Qu.:1.000   1st Qu.: 5.00  
 Median : 2045   Median :4.00   Median :2.000   Median :30.00  
 Mean   :15452   Mean   :3.63   Mean   :2.685   Mean   :24.23  
 3rd Qu.:40093   3rd Qu.:5.00   3rd Qu.:4.000   3rd Qu.:40.00  
 Max.   :43253   Max.   :6.00   Max.   :9.000   Max.   :96.00  
                                NA's   :1600    NA's   :1600   
 household_size_t1 household_size_t2    tergopag      SC1_DUMMY    
 Min.   : 0.00     Min.   : 0.0000   Min.   :   1   Min.   :2.000  
 1st Qu.: 2.00     1st Qu.: 0.0000   1st Qu.: 508   1st Qu.:2.000  
 Median : 2.00     Median : 0.0000   Median :1008   Median :3.000  
 Mean   : 2.25     Mean   : 0.7881   Mean   :1008   Mean   :2.939  
 3rd Qu.: 3.00     3rd Qu.: 1.0000   3rd Qu.:1508   3rd Qu.:4.000  
 Max.   :34.00     Max.   :40.0000   Max.   :2008   Max.   :5.000  
 NA's   :1600      NA's   :1600      NA's   :1600   NA's   :1613   
      GL03            GL04            GL05            GL06      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:3.000   1st Qu.:3.000   1st Qu.:3.000   1st Qu.:4.000  
 Median :3.000   Median :4.000   Median :3.000   Median :5.000  
 Mean   :3.368   Mean   :3.615   Mean   :3.409   Mean   :4.259  
 3rd Qu.:4.000   3rd Qu.:4.000   3rd Qu.:4.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
 NA's   :1600    NA's   :1600    NA's   :1600    NA's   :1600   
      PFA2           PFA27            PFB4           PFB45      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:3.000   1st Qu.:3.000   1st Qu.:3.000   1st Qu.:3.000  
 Median :4.000   Median :4.000   Median :5.000   Median :5.000  
 Mean   :3.923   Mean   :4.035   Mean   :4.036   Mean   :4.088  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
 NA's   :1600    NA's   :1600    NA's   :1600    NA's   :1600   
      PFC8           PFC11           PFC21           PFC30      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:5.000   1st Qu.:4.000   1st Qu.:4.000   1st Qu.:4.000  
 Median :5.000   Median :5.000   Median :5.000   Median :5.000  
 Mean   :4.676   Mean   :4.365   Mean   :4.345   Mean   :4.283  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
 NA's   :1600    NA's   :1600    NA's   :1600    NA's   :1600   
     PFC42           PFC48            PFM1            PFM2      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:4.000   1st Qu.:3.000   1st Qu.:3.000   1st Qu.:3.000  
 Median :5.000   Median :4.000   Median :4.000   Median :4.000  
 Mean   :4.355   Mean   :3.765   Mean   :3.711   Mean   :3.941  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
 NA's   :1600    NA's   :1600                                   
      PFM3            PFM4            PFM6            PFM7      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:3.000   1st Qu.:2.000   1st Qu.:3.000   1st Qu.:3.000  
 Median :4.000   Median :3.000   Median :4.000   Median :4.000  
 Mean   :3.632   Mean   :3.175   Mean   :3.501   Mean   :3.731  
 3rd Qu.:5.000   3rd Qu.:4.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
                                                                
      PFM9           PFM10           PFM12           PFM15          PFM16      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.00   Min.   :1.000  
 1st Qu.:3.000   1st Qu.:2.000   1st Qu.:3.000   1st Qu.:2.00   1st Qu.:4.000  
 Median :4.000   Median :3.000   Median :4.000   Median :4.00   Median :5.000  
 Mean   :3.872   Mean   :3.196   Mean   :3.655   Mean   :3.47   Mean   :4.146  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.00   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.00   Max.   :5.000  
                                                                               
     PFM17           PFM18           PFM19           PFM21      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:2.000   1st Qu.:3.000   1st Qu.:3.000   1st Qu.:2.000  
 Median :4.000   Median :4.000   Median :4.000   Median :4.000  
 Mean   :3.485   Mean   :3.943   Mean   :3.833   Mean   :3.298  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
                                                                
     PFM23           PFM25           PFM26           PFM27      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:4.000   1st Qu.:4.000   1st Qu.:3.000   1st Qu.:2.000  
 Median :5.000   Median :5.000   Median :4.000   Median :3.000  
 Mean   :4.109   Mean   :4.054   Mean   :3.808   Mean   :3.206  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:4.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
                                                                
     PFM28           PFM29           PFM32           PFM33      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:3.000   1st Qu.:3.000   1st Qu.:2.000   1st Qu.:2.000  
 Median :5.000   Median :4.000   Median :4.000   Median :4.000  
 Mean   :3.902   Mean   :3.817   Mean   :3.347   Mean   :3.307  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
                                                                
     PFM34           PFM35           PFM36           PFM37      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:3.000   1st Qu.:4.000   1st Qu.:2.000   1st Qu.:4.000  
 Median :4.000   Median :5.000   Median :4.000   Median :5.000  
 Mean   :3.979   Mean   :4.182   Mean   :3.276   Mean   :4.297  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
                                                                
     PFM38           PFM40           PFM43           PFM44          PFM46     
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.00   Min.   :1.00  
 1st Qu.:2.000   1st Qu.:3.000   1st Qu.:3.000   1st Qu.:2.00   1st Qu.:2.00  
 Median :4.000   Median :5.000   Median :4.000   Median :3.00   Median :4.00  
 Mean   :3.397   Mean   :4.088   Mean   :3.842   Mean   :3.07   Mean   :3.36  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:4.00   3rd Qu.:5.00  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.00   Max.   :5.00  
                                                                              
     PFM49          PFM51           PFM53            LOI          
 Min.   :1.00   Min.   :1.000   Min.   :1.000   Min.   :   106.0  
 1st Qu.:2.00   1st Qu.:2.000   1st Qu.:2.000   1st Qu.:   327.0  
 Median :4.00   Median :3.000   Median :3.000   Median :   434.0  
 Mean   :3.31   Mean   :3.131   Mean   :3.269   Mean   :   841.2  
 3rd Qu.:5.00   3rd Qu.:4.000   3rd Qu.:5.000   3rd Qu.:   590.0  
 Max.   :5.00   Max.   :5.000   Max.   :5.000   Max.   :130944.0  
                                                NA's   :1600      
 fingerprint           complete        screen         quota     
 Length:3601        Min.   :1      Min.   :0      Min.   :0     
 Class :character   1st Qu.:1      1st Qu.:0      1st Qu.:0     
 Mode  :character   Median :1      Median :0      Median :0     
                    Mean   :1      Mean   :0      Mean   :0     
                    3rd Qu.:1      3rd Qu.:0      3rd Qu.:0     
                    Max.   :1      Max.   :0      Max.   :0     
                    NA's   :1600   NA's   :1600   NA's   :1600  
   language          identifier        edu_harmonized       SD1HIDDEN    
 Length:3601        Length:3601        Length:3601        Min.   :1.000  
 Class :character   Class :character   Class :character   1st Qu.:2.000  
 Mode  :character   Mode  :character   Mode  :character   Median :3.000  
                                                          Mean   :3.447  
                                                          3rd Qu.:5.000  
                                                          Max.   :6.000  
                                                          NA's   :2001   
      PFS1            PFS2           PFC12            PFS3      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:1.000   1st Qu.:1.000   1st Qu.:3.000   1st Qu.:1.000  
 Median :1.000   Median :2.000   Median :4.000   Median :2.000  
 Mean   :1.268   Mean   :1.581   Mean   :3.841   Mean   :2.475  
 3rd Qu.:2.000   3rd Qu.:2.000   3rd Qu.:5.000   3rd Qu.:4.000  
 Max.   :2.000   Max.   :2.000   Max.   :5.000   Max.   :5.000  
 NA's   :2001    NA's   :2001    NA's   :2001    NA's   :2001   
    PFC33R1           PFA1          PFA10           PFA11           PFA13      
 Min.   :1.000   Min.   :1.00   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:1.000   1st Qu.:2.00   1st Qu.:4.000   1st Qu.:4.000   1st Qu.:3.000  
 Median :2.000   Median :4.00   Median :5.000   Median :5.000   Median :4.000  
 Mean   :2.119   Mean   :3.53   Mean   :4.197   Mean   :4.345   Mean   :3.756  
 3rd Qu.:3.000   3rd Qu.:5.00   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.00   Max.   :5.000   Max.   :5.000   Max.   :5.000  
 NA's   :2001    NA's   :2001   NA's   :2001    NA's   :2001    NA's   :2001   
    PFA14R1         PFA16R1          PFA17           PFA18      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:4.000   1st Qu.:5.000   1st Qu.:4.000   1st Qu.:5.000  
 Median :5.000   Median :5.000   Median :5.000   Median :5.000  
 Mean   :4.266   Mean   :4.662   Mean   :4.409   Mean   :4.595  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
 NA's   :2001    NA's   :2001    NA's   :2001    NA's   :2001   
     PFA20           PFA21           PFA23           PFA25      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:5.000   1st Qu.:4.000   1st Qu.:4.000   1st Qu.:4.000  
 Median :5.000   Median :5.000   Median :5.000   Median :5.000  
 Mean   :4.733   Mean   :4.295   Mean   :4.407   Mean   :4.162  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
 NA's   :2001    NA's   :2001    NA's   :2001    NA's   :2001   
     PFA28          PFA29R1         PFA31R1          PFA33      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:5.000   1st Qu.:4.000   1st Qu.:4.000   1st Qu.:3.000  
 Median :5.000   Median :5.000   Median :5.000   Median :4.000  
 Mean   :4.589   Mean   :4.348   Mean   :4.231   Mean   :3.766  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
 NA's   :2001    NA's   :2002    NA's   :2001    NA's   :2001   
     PFA38          PFA39R1           PFA4           PFA41      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:5.000   1st Qu.:1.000   1st Qu.:3.000   1st Qu.:3.000  
 Median :5.000   Median :3.000   Median :5.000   Median :5.000  
 Mean   :4.595   Mean   :2.856   Mean   :3.982   Mean   :4.074  
 3rd Qu.:5.000   3rd Qu.:4.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
 NA's   :2001    NA's   :2001    NA's   :2001    NA's   :2001   
     PFA42           PFA44            PFA5            PFA6      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:4.000   1st Qu.:5.000   1st Qu.:4.000   1st Qu.:5.000  
 Median :5.000   Median :5.000   Median :5.000   Median :5.000  
 Mean   :4.298   Mean   :4.737   Mean   :4.334   Mean   :4.616  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
 NA's   :2001    NA's   :2001    NA's   :2001    NA's   :2001   
      PFB1           PFB11           PFB22           PFB24      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:4.000   1st Qu.:5.000   1st Qu.:5.000   1st Qu.:3.000  
 Median :5.000   Median :5.000   Median :5.000   Median :5.000  
 Mean   :4.357   Mean   :4.584   Mean   :4.717   Mean   :4.018  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
 NA's   :2001    NA's   :2001    NA's   :2001    NA's   :2001   
     PFB25           PFB26          PFB27           PFB33           PFB36      
 Min.   :1.000   Min.   :1.00   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:5.000   1st Qu.:5.00   1st Qu.:5.000   1st Qu.:5.000   1st Qu.:5.000  
 Median :5.000   Median :5.00   Median :5.000   Median :5.000   Median :5.000  
 Mean   :4.724   Mean   :4.72   Mean   :4.697   Mean   :4.704   Mean   :4.694  
 3rd Qu.:5.000   3rd Qu.:5.00   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.00   Max.   :5.000   Max.   :5.000   Max.   :5.000  
 NA's   :2001    NA's   :2001   NA's   :2001    NA's   :2001    NA's   :2001   
     PFB44           PFB48           PFB50           PFB51      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:4.000   1st Qu.:5.000   1st Qu.:4.000   1st Qu.:3.000  
 Median :5.000   Median :5.000   Median :5.000   Median :4.000  
 Mean   :4.276   Mean   :4.638   Mean   :4.253   Mean   :3.768  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
 NA's   :2001    NA's   :2001    NA's   :2001    NA's   :2001   
     PFB5R1           PFB7           PFB8R1           PFB9           PFC10     
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.00  
 1st Qu.:3.000   1st Qu.:2.000   1st Qu.:4.000   1st Qu.:4.000   1st Qu.:3.00  
 Median :4.000   Median :4.000   Median :5.000   Median :5.000   Median :5.00  
 Mean   :3.698   Mean   :3.595   Mean   :4.236   Mean   :4.232   Mean   :3.97  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.00  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.00  
 NA's   :2002    NA's   :2001    NA's   :2001    NA's   :2001    NA's   :2001  
     PFC32           PFC35           PFC37           PFC40      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:3.000   1st Qu.:2.000   1st Qu.:4.000   1st Qu.:4.000  
 Median :4.000   Median :4.000   Median :5.000   Median :5.000  
 Mean   :3.848   Mean   :3.533   Mean   :4.331   Mean   :4.196  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
 NA's   :2001    NA's   :2001    NA's   :2001    NA's   :2001   
     PFC41           PFC6R1           PFM5           PFM8           PFM11      
 Min.   :1.000   Min.   :1.000   Min.   :1.00   Min.   :1.000   Min.   :1.000  
 1st Qu.:4.000   1st Qu.:4.000   1st Qu.:4.00   1st Qu.:1.000   1st Qu.:1.000  
 Median :5.000   Median :5.000   Median :5.00   Median :3.000   Median :2.000  
 Mean   :4.407   Mean   :4.476   Mean   :4.51   Mean   :2.765   Mean   :2.487  
 3rd Qu.:5.000   3rd Qu.:5.000   3rd Qu.:5.00   3rd Qu.:4.000   3rd Qu.:4.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.00   Max.   :5.000   Max.   :5.000  
 NA's   :2001    NA's   :2002    NA's   :2001   NA's   :2001    NA's   :2001   
     PFM13           PFM14           PFM20           PFM22      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:2.000   1st Qu.:1.000   1st Qu.:1.000   1st Qu.:1.000  
 Median :4.000   Median :3.000   Median :2.000   Median :2.000  
 Mean   :3.463   Mean   :2.837   Mean   :2.562   Mean   :2.489  
 3rd Qu.:5.000   3rd Qu.:4.000   3rd Qu.:4.000   3rd Qu.:4.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
 NA's   :2001    NA's   :2001    NA's   :2001    NA's   :2001   
     PFM24           PFM30           PFM31          PFM39           PFM41      
 Min.   :1.000   Min.   :1.000   Min.   :1.00   Min.   :1.000   Min.   :1.000  
 1st Qu.:1.000   1st Qu.:1.000   1st Qu.:1.00   1st Qu.:1.000   1st Qu.:1.000  
 Median :3.000   Median :3.000   Median :2.00   Median :3.000   Median :2.000  
 Mean   :2.984   Mean   :3.182   Mean   :2.48   Mean   :2.737   Mean   :2.619  
 3rd Qu.:4.000   3rd Qu.:5.000   3rd Qu.:4.00   3rd Qu.:4.000   3rd Qu.:4.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.00   Max.   :5.000   Max.   :5.000  
 NA's   :2001    NA's   :2001    NA's   :2001   NA's   :2001    NA's   :2001   
     PFM42           PFM45           PFM47           PFM48      
 Min.   :1.000   Min.   :1.000   Min.   :1.000   Min.   :1.000  
 1st Qu.:2.000   1st Qu.:1.000   1st Qu.:1.000   1st Qu.:1.000  
 Median :3.000   Median :1.000   Median :2.000   Median :1.000  
 Mean   :2.994   Mean   :2.097   Mean   :2.684   Mean   :2.215  
 3rd Qu.:4.000   3rd Qu.:3.000   3rd Qu.:4.000   3rd Qu.:4.000  
 Max.   :5.000   Max.   :5.000   Max.   :5.000   Max.   :5.000  
 NA's   :2001    NA's   :2001    NA's   :2001    NA's   :2001   
     PFM50           PFM52       global_health_physical_2a_sum_score
 Min.   :1.000   Min.   :1.000   Min.   : 2.000                     
 1st Qu.:1.000   1st Qu.:1.000   1st Qu.: 7.000                     
 Median :3.000   Median :2.000   Median : 8.000                     
 Mean   :2.769   Mean   :2.616   Mean   : 7.628                     
 3rd Qu.:4.000   3rd Qu.:4.000   3rd Qu.: 9.000                     
 Max.   :5.000   Max.   :5.000   Max.   :10.000                     
 NA's   :2001    NA's   :2001    NA's   :1600                       
 global_health_physical_2a_t_score global_health_mental_2a_sum_score
 Min.   :23.40                     Min.   : 2.000                   
 1st Qu.:45.00                     1st Qu.: 6.000                   
 Median :50.00                     Median : 7.000                   
 Mean   :49.15                     Mean   : 7.024                   
 3rd Qu.:56.00                     3rd Qu.: 8.000                   
 Max.   :63.30                     Max.   :10.000                   
 NA's   :1600                      NA's   :1600                     
 global_health_mental_2a_t_score   theta_free            t_free     
 Min.   :25.80                   Min.   :-3.654804   Min.   :13.45  
 1st Qu.:44.40                   1st Qu.:-0.630695   1st Qu.:43.69  
 Median :48.60                   Median : 0.056119   Median :50.56  
 Mean   :49.11                   Mean   : 0.000912   Mean   :50.01  
 3rd Qu.:52.80                   3rd Qu.: 0.594548   3rd Qu.:55.95  
 Max.   :64.60                   Max.   : 2.531803   Max.   :75.32  
 NA's   :1600                                                       
  theta_promis         t_promis    
 Min.   :-3.54434   Min.   :14.56  
 1st Qu.:-0.78434   1st Qu.:42.16  
 Median :-0.07912   Median :49.21  
 Mean   :-0.09706   Mean   :49.03  
 3rd Qu.: 0.54924   3rd Qu.:55.49  
 Max.   : 2.57522   Max.   :75.75


Exploratory Data Analysis

Argentina

data_arg <- data_complete %>% 
  dplyr::filter(country == "arg")

print(dfSummary(data_arg, 
                varnumbers   = FALSE, 
                valid.col    = FALSE, 
                graph.magnif = 0.76),
      method = 'render')

Data Frame Summary

data_arg

Dimensions: 1001 x 149
Duplicates: 0
Variable Stats / Values Freqs (% of Valid) Graph Missing
country [character] 1. arg
1001(100.0%)
 0 (0.0%)
country_vector [numeric] 1 distinct value
2:1001(100.0%)
 0 (0.0%)
age [numeric]
Mean (sd) : 35.6 (11.8)
min ā‰¤ med ā‰¤ max:
18 ā‰¤ 34 ā‰¤ 69
IQR (CV) : 17 (0.3)
 52 distinct values 0 (0.0%)
gender [numeric]
Mean (sd) : 1.5 (0.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 1 ā‰¤ 3
IQR (CV) : 1 (0.3)
1:501(50.0%)
2:489(48.9%)
3:11(1.1%)
 0 (0.0%)
respondent_id [numeric]
Mean (sd) : 1231.2 (656.4)
min ā‰¤ med ā‰¤ max:
74 ā‰¤ 1222 ā‰¤ 2301
IQR (CV) : 1262 (0.5)
 1001 distinct values 0 (0.0%)
edu [numeric]
Mean (sd) : 3.7 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 6
IQR (CV) : 3 (0.4)
1:18(1.8%)
2:266(26.6%)
3:180(18.0%)
4:187(18.7%)
5:242(24.2%)
6:108(10.8%)
 0 (0.0%)
employment [numeric]
Mean (sd) : 2.5 (1.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 9
IQR (CV) : 2 (0.8)
1:462(46.2%)
2:132(13.2%)
3:171(17.1%)
4:95(9.5%)
5:10(1.0%)
6:110(11.0%)
9:21(2.1%)
 0 (0.0%)
work_hrs [numeric]
Mean (sd) : 26.1 (18.5)
min ā‰¤ med ā‰¤ max:
0 ā‰¤ 30 ā‰¤ 96
IQR (CV) : 32 (0.7)
 59 distinct values 0 (0.0%)
household_size_t1 [numeric]
Mean (sd) : 2.6 (1.7)
min ā‰¤ med ā‰¤ max:
0 ā‰¤ 2 ā‰¤ 34
IQR (CV) : 1 (0.7)
 12 distinct values 0 (0.0%)
household_size_t2 [numeric]
Mean (sd) : 1.2 (2.1)
min ā‰¤ med ā‰¤ max:
0 ā‰¤ 1 ā‰¤ 40
IQR (CV) : 2 (1.9)
 13 distinct values 0 (0.0%)
tergopag [numeric]
Mean (sd) : 1044.6 (581.7)
min ā‰¤ med ā‰¤ max:
6 ā‰¤ 1043 ā‰¤ 1972
IQR (CV) : 1124 (0.6)
 1001 distinct values 0 (0.0%)
SC1_DUMMY [numeric]
Mean (sd) : 2.6 (0.7)
min ā‰¤ med ā‰¤ max:
2 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 1 (0.3)
2:501(50.3%)
3:356(35.7%)
4:133(13.3%)
5:7(0.7%)
 4 (0.4%)
GL03 [numeric]
Mean (sd) : 3.6 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:16(1.6%)
2:71(7.1%)
3:331(33.1%)
4:417(41.7%)
5:166(16.6%)
 0 (0.0%)
GL04 [numeric]
Mean (sd) : 3.8 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:11(1.1%)
2:73(7.3%)
3:259(25.9%)
4:429(42.9%)
5:229(22.9%)
 0 (0.0%)
GL05 [numeric]
Mean (sd) : 3.6 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:20(2.0%)
2:113(11.3%)
3:324(32.4%)
4:373(37.3%)
5:171(17.1%)
 0 (0.0%)
GL06 [numeric]
Mean (sd) : 4.1 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.2)
1:14(1.4%)
2:67(6.7%)
3:185(18.5%)
4:225(22.5%)
5:510(50.9%)
 0 (0.0%)
PFA2 [numeric]
Mean (sd) : 4.1 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.2)
1:8(0.8%)
2:61(6.1%)
3:211(21.1%)
4:261(26.1%)
5:460(46.0%)
 0 (0.0%)
PFA27 [numeric]
Mean (sd) : 4.1 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:28(2.8%)
2:42(4.2%)
3:187(18.7%)
4:274(27.4%)
5:470(47.0%)
 0 (0.0%)
PFB4 [numeric]
Mean (sd) : 4.4 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:6(0.6%)
2:46(4.6%)
3:121(12.1%)
4:222(22.2%)
5:606(60.5%)
 0 (0.0%)
PFB45 [numeric]
Mean (sd) : 4.2 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:28(2.8%)
2:51(5.1%)
3:128(12.8%)
4:243(24.3%)
5:551(55.0%)
 0 (0.0%)
PFC8 [numeric]
Mean (sd) : 4.7 (0.7)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:9(0.9%)
2:27(2.7%)
3:45(4.5%)
4:73(7.3%)
5:847(84.6%)
 0 (0.0%)
PFC11 [numeric]
Mean (sd) : 4.6 (0.8)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:9(0.9%)
2:35(3.5%)
3:56(5.6%)
4:156(15.6%)
5:745(74.4%)
 0 (0.0%)
PFC21 [numeric]
Mean (sd) : 4.5 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:20(2.0%)
2:28(2.8%)
3:78(7.8%)
4:133(13.3%)
5:742(74.1%)
 0 (0.0%)
PFC30 [numeric]
Mean (sd) : 4.4 (0.8)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:7(0.7%)
2:23(2.3%)
3:103(10.3%)
4:298(29.8%)
5:570(56.9%)
 0 (0.0%)
PFC42 [numeric]
Mean (sd) : 4.4 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:13(1.3%)
2:29(2.9%)
3:102(10.2%)
4:266(26.6%)
5:591(59.0%)
 0 (0.0%)
PFC48 [numeric]
Mean (sd) : 3.9 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:23(2.3%)
2:66(6.6%)
3:229(22.9%)
4:346(34.6%)
5:337(33.7%)
 0 (0.0%)
PFM1 [numeric]
Mean (sd) : 3.9 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:44(4.4%)
2:86(8.6%)
3:201(20.1%)
4:301(30.1%)
5:369(36.9%)
 0 (0.0%)
PFM2 [numeric]
Mean (sd) : 4.2 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:16(1.6%)
2:43(4.3%)
3:142(14.2%)
4:294(29.4%)
5:506(50.5%)
 0 (0.0%)
PFM3 [numeric]
Mean (sd) : 4 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:26(2.6%)
2:68(6.8%)
3:177(17.7%)
4:300(30.0%)
5:430(43.0%)
 0 (0.0%)
PFM4 [numeric]
Mean (sd) : 3.4 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:68(6.8%)
2:129(12.9%)
3:295(29.5%)
4:330(33.0%)
5:179(17.9%)
 0 (0.0%)
PFM6 [numeric]
Mean (sd) : 3.8 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:45(4.5%)
2:81(8.1%)
3:220(22.0%)
4:320(32.0%)
5:335(33.5%)
 0 (0.0%)
PFM7 [numeric]
Mean (sd) : 4.2 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:46(4.6%)
2:63(6.3%)
3:129(12.9%)
4:214(21.4%)
5:549(54.8%)
 0 (0.0%)
PFM9 [numeric]
Mean (sd) : 4.3 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:19(1.9%)
2:42(4.2%)
3:111(11.1%)
4:276(27.6%)
5:553(55.2%)
 0 (0.0%)
PFM10 [numeric]
Mean (sd) : 3.3 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:159(15.9%)
2:146(14.6%)
3:190(19.0%)
4:210(21.0%)
5:296(29.6%)
 0 (0.0%)
PFM12 [numeric]
Mean (sd) : 3.7 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:76(7.6%)
2:104(10.4%)
3:204(20.4%)
4:249(24.9%)
5:368(36.8%)
 0 (0.0%)
PFM15 [numeric]
Mean (sd) : 3.6 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:102(10.2%)
2:115(11.5%)
3:216(21.6%)
4:215(21.5%)
5:353(35.3%)
 0 (0.0%)
PFM16 [numeric]
Mean (sd) : 4.1 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:27(2.7%)
2:70(7.0%)
3:161(16.1%)
4:287(28.7%)
5:456(45.6%)
 0 (0.0%)
PFM17 [numeric]
Mean (sd) : 3.6 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:65(6.5%)
2:108(10.8%)
3:231(23.1%)
4:307(30.7%)
5:290(29.0%)
 0 (0.0%)
PFM18 [numeric]
Mean (sd) : 4.4 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:13(1.3%)
2:35(3.5%)
3:130(13.0%)
4:224(22.4%)
5:599(59.8%)
 0 (0.0%)
PFM19 [numeric]
Mean (sd) : 4.3 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:28(2.8%)
2:58(5.8%)
3:121(12.1%)
4:167(16.7%)
5:627(62.6%)
 0 (0.0%)
PFM21 [numeric]
Mean (sd) : 3.7 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:51(5.1%)
2:103(10.3%)
3:222(22.2%)
4:316(31.6%)
5:309(30.9%)
 0 (0.0%)
PFM23 [numeric]
Mean (sd) : 4.6 (0.8)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:12(1.2%)
2:31(3.1%)
3:72(7.2%)
4:161(16.1%)
5:725(72.4%)
 0 (0.0%)
PFM25 [numeric]
Mean (sd) : 4.2 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:34(3.4%)
2:36(3.6%)
3:128(12.8%)
4:256(25.6%)
5:547(54.6%)
 0 (0.0%)
PFM26 [numeric]
Mean (sd) : 4 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:53(5.3%)
2:51(5.1%)
3:151(15.1%)
4:319(31.9%)
5:427(42.7%)
 0 (0.0%)
PFM27 [numeric]
Mean (sd) : 3.6 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:73(7.3%)
2:108(10.8%)
3:238(23.8%)
4:292(29.2%)
5:290(29.0%)
 0 (0.0%)
PFM28 [numeric]
Mean (sd) : 4.1 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:61(6.1%)
2:44(4.4%)
3:136(13.6%)
4:214(21.4%)
5:546(54.5%)
 0 (0.0%)
PFM29 [numeric]
Mean (sd) : 4.1 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:39(3.9%)
2:70(7.0%)
3:142(14.2%)
4:261(26.1%)
5:489(48.9%)
 0 (0.0%)
PFM32 [numeric]
Mean (sd) : 3.6 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:102(10.2%)
2:100(10.0%)
3:217(21.7%)
4:298(29.8%)
5:284(28.4%)
 0 (0.0%)
PFM33 [numeric]
Mean (sd) : 3 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.5)
1:207(20.7%)
2:142(14.2%)
3:249(24.9%)
4:234(23.4%)
5:169(16.9%)
 0 (0.0%)
PFM34 [numeric]
Mean (sd) : 4.2 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:35(3.5%)
2:66(6.6%)
3:110(11.0%)
4:255(25.5%)
5:535(53.4%)
 0 (0.0%)
PFM35 [numeric]
Mean (sd) : 4.4 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:23(2.3%)
2:30(3.0%)
3:126(12.6%)
4:188(18.8%)
5:634(63.3%)
 0 (0.0%)
PFM36 [numeric]
Mean (sd) : 3.6 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:137(13.7%)
2:86(8.6%)
3:171(17.1%)
4:264(26.4%)
5:343(34.3%)
 0 (0.0%)
PFM37 [numeric]
Mean (sd) : 4.6 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:10(1.0%)
2:37(3.7%)
3:78(7.8%)
4:134(13.4%)
5:742(74.1%)
 0 (0.0%)
PFM38 [numeric]
Mean (sd) : 3.5 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:95(9.5%)
2:136(13.6%)
3:228(22.8%)
4:274(27.4%)
5:268(26.8%)
 0 (0.0%)
PFM40 [numeric]
Mean (sd) : 4.1 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:52(5.2%)
2:57(5.7%)
3:126(12.6%)
4:223(22.3%)
5:543(54.2%)
 0 (0.0%)
PFM43 [numeric]
Mean (sd) : 4.1 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:41(4.1%)
2:61(6.1%)
3:157(15.7%)
4:238(23.8%)
5:504(50.3%)
 0 (0.0%)
PFM44 [numeric]
Mean (sd) : 3.1 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:171(17.1%)
2:146(14.6%)
3:279(27.9%)
4:221(22.1%)
5:184(18.4%)
 0 (0.0%)
PFM46 [numeric]
Mean (sd) : 3 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:170(17.0%)
2:170(17.0%)
3:276(27.6%)
4:232(23.2%)
5:153(15.3%)
 0 (0.0%)
PFM49 [numeric]
Mean (sd) : 3.5 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:92(9.2%)
2:119(11.9%)
3:244(24.4%)
4:263(26.3%)
5:283(28.3%)
 0 (0.0%)
PFM51 [numeric]
Mean (sd) : 3.2 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:154(15.4%)
2:146(14.6%)
3:240(24.0%)
4:275(27.5%)
5:186(18.6%)
 0 (0.0%)
PFM53 [numeric]
Mean (sd) : 3.7 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:77(7.7%)
2:94(9.4%)
3:233(23.3%)
4:263(26.3%)
5:334(33.4%)
 0 (0.0%)
LOI [numeric]
Mean (sd) : 739.1 (2689.5)
min ā‰¤ med ā‰¤ max:
144 ā‰¤ 483 ā‰¤ 78314
IQR (CV) : 261 (3.6)
 568 distinct values 0 (0.0%)
fingerprint [character]
1. 003419ca5ef10d662fda4b04d
2. 004b58d1aa4fb8e1caa4aa7d2
3. 007a380b7dbfdad7d7892fce2
4. 00c8c92def3a68cb9f20a7fff
5. 00d33ea2e71e965b724993379
6. 012d1fa976b7e2aab3343d353
7. 0130fa05b996f75dfca54a647
8. 01b61956fb7a52017684ad1ce
9. 021564529b844edbfb2769b98
10. 023b5f788c3fae86ea7ff7d4e
[ 991 others ]
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
991(99.0%)
 0 (0.0%)
complete [numeric] 1 distinct value
1:1001(100.0%)
 0 (0.0%)
screen [numeric] 1 distinct value
0:1001(100.0%)
 0 (0.0%)
quota [numeric] 1 distinct value
0:1001(100.0%)
 0 (0.0%)
language [character] 1. ES
1001(100.0%)
 0 (0.0%)
identifier [character]
1. 00071066-1ca4-67d4-6849-2
2. 003b861e-39de-e864-3e31-b
3. 009e265f-1aab-4280-8677-1
4. 00aa869b-e9af-29da-00b4-b
5. 00aff795-3c41-d89a-26bd-c
6. 00da43ee-6990-2e85-3ec6-7
7. 010968f2-0a8f-4cf3-0cdd-5
8. 014c6acd-93e3-0e65-54e5-5
9. 017c1d95-83b5-fddb-13ba-2
10. 0218c8be-aa6f-08d4-9a96-f
[ 991 others ]
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
991(99.0%)
 0 (0.0%)
edu_harmonized [character]
1. Higher Education
2. Primary education
3. Secondary Education
4. Upper secondary education
537(53.6%)
18(1.8%)
266(26.6%)
180(18.0%)
 0 (0.0%)
SD1HIDDEN [numeric]
All NA's
 1001 (100.0%)
PFS1 [numeric]
All NA's
 1001 (100.0%)
PFS2 [numeric]
All NA's
 1001 (100.0%)
PFC12 [numeric]
All NA's
 1001 (100.0%)
PFS3 [numeric]
All NA's
 1001 (100.0%)
PFC33R1 [numeric]
All NA's
 1001 (100.0%)
PFA1 [numeric]
All NA's
 1001 (100.0%)
PFA10 [numeric]
All NA's
 1001 (100.0%)
PFA11 [numeric]
All NA's
 1001 (100.0%)
PFA13 [numeric]
All NA's
 1001 (100.0%)
PFA14R1 [numeric]
All NA's
 1001 (100.0%)
PFA16R1 [numeric]
All NA's
 1001 (100.0%)
PFA17 [numeric]
All NA's
 1001 (100.0%)
PFA18 [numeric]
All NA's
 1001 (100.0%)
PFA20 [numeric]
All NA's
 1001 (100.0%)
PFA21 [numeric]
All NA's
 1001 (100.0%)
PFA23 [numeric]
All NA's
 1001 (100.0%)
PFA25 [numeric]
All NA's
 1001 (100.0%)
PFA28 [numeric]
All NA's
 1001 (100.0%)
PFA29R1 [numeric]
All NA's
 1001 (100.0%)
PFA31R1 [numeric]
All NA's
 1001 (100.0%)
PFA33 [numeric]
All NA's
 1001 (100.0%)
PFA38 [numeric]
All NA's
 1001 (100.0%)
PFA39R1 [numeric]
All NA's
 1001 (100.0%)
PFA4 [numeric]
All NA's
 1001 (100.0%)
PFA41 [numeric]
All NA's
 1001 (100.0%)
PFA42 [numeric]
All NA's
 1001 (100.0%)
PFA44 [numeric]
All NA's
 1001 (100.0%)
PFA5 [numeric]
All NA's
 1001 (100.0%)
PFA6 [numeric]
All NA's
 1001 (100.0%)
PFB1 [numeric]
All NA's
 1001 (100.0%)
PFB11 [numeric]
All NA's
 1001 (100.0%)
PFB22 [numeric]
All NA's
 1001 (100.0%)
PFB24 [numeric]
All NA's
 1001 (100.0%)
PFB25 [numeric]
All NA's
 1001 (100.0%)
PFB26 [numeric]
All NA's
 1001 (100.0%)
PFB27 [numeric]
All NA's
 1001 (100.0%)
PFB33 [numeric]
All NA's
 1001 (100.0%)
PFB36 [numeric]
All NA's
 1001 (100.0%)
PFB44 [numeric]
All NA's
 1001 (100.0%)
PFB48 [numeric]
All NA's
 1001 (100.0%)
PFB50 [numeric]
All NA's
 1001 (100.0%)
PFB51 [numeric]
All NA's
 1001 (100.0%)
PFB5R1 [numeric]
All NA's
 1001 (100.0%)
PFB7 [numeric]
All NA's
 1001 (100.0%)
PFB8R1 [numeric]
All NA's
 1001 (100.0%)
PFB9 [numeric]
All NA's
 1001 (100.0%)
PFC10 [numeric]
All NA's
 1001 (100.0%)
PFC32 [numeric]
All NA's
 1001 (100.0%)
PFC35 [numeric]
All NA's
 1001 (100.0%)
PFC37 [numeric]
All NA's
 1001 (100.0%)
PFC40 [numeric]
All NA's
 1001 (100.0%)
PFC41 [numeric]
All NA's
 1001 (100.0%)
PFC6R1 [numeric]
All NA's
 1001 (100.0%)
PFM5 [numeric]
All NA's
 1001 (100.0%)
PFM8 [numeric]
All NA's
 1001 (100.0%)
PFM11 [numeric]
All NA's
 1001 (100.0%)
PFM13 [numeric]
All NA's
 1001 (100.0%)
PFM14 [numeric]
All NA's
 1001 (100.0%)
PFM20 [numeric]
All NA's
 1001 (100.0%)
PFM22 [numeric]
All NA's
 1001 (100.0%)
PFM24 [numeric]
All NA's
 1001 (100.0%)
PFM30 [numeric]
All NA's
 1001 (100.0%)
PFM31 [numeric]
All NA's
 1001 (100.0%)
PFM39 [numeric]
All NA's
 1001 (100.0%)
PFM41 [numeric]
All NA's
 1001 (100.0%)
PFM42 [numeric]
All NA's
 1001 (100.0%)
PFM45 [numeric]
All NA's
 1001 (100.0%)
PFM47 [numeric]
All NA's
 1001 (100.0%)
PFM48 [numeric]
All NA's
 1001 (100.0%)
PFM50 [numeric]
All NA's
 1001 (100.0%)
PFM52 [numeric]
All NA's
 1001 (100.0%)
global_health_physical_2a_sum_score [numeric]
Mean (sd) : 7.8 (1.6)
min ā‰¤ med ā‰¤ max:
2 ā‰¤ 8 ā‰¤ 10
IQR (CV) : 2 (0.2)
2:3(0.3%)
3:9(0.9%)
4:23(2.3%)
5:54(5.4%)
6:113(11.3%)
7:166(16.6%)
8:251(25.1%)
9:261(26.1%)
10:121(12.1%)
 0 (0.0%)
global_health_physical_2a_t_score [numeric]
Mean (sd) : 50 (8)
min ā‰¤ med ā‰¤ max:
23.4 ā‰¤ 50 ā‰¤ 63.3
IQR (CV) : 11 (0.2)
23.40:3(0.3%)
29.00:9(0.9%)
33.40:23(2.3%)
37.30:54(5.4%)
41.40:113(11.3%)
45.00:166(16.6%)
50.00:251(25.1%)
56.00:261(26.1%)
63.30:121(12.1%)
 0 (0.0%)
global_health_mental_2a_sum_score [numeric]
Mean (sd) : 7.4 (1.7)
min ā‰¤ med ā‰¤ max:
2 ā‰¤ 7 ā‰¤ 10
IQR (CV) : 3 (0.2)
2:2(0.2%)
3:17(1.7%)
4:32(3.2%)
5:88(8.8%)
6:148(14.8%)
7:217(21.7%)
8:238(23.8%)
9:164(16.4%)
10:95(9.5%)
 0 (0.0%)
global_health_mental_2a_t_score [numeric]
Mean (sd) : 50.6 (7.5)
min ā‰¤ med ā‰¤ max:
25.8 ā‰¤ 48.6 ā‰¤ 64.6
IQR (CV) : 13.3 (0.1)
25.80:2(0.2%)
32.00:17(1.7%)
36.50:32(3.2%)
40.60:88(8.8%)
44.40:148(14.8%)
48.60:217(21.7%)
52.80:238(23.8%)
57.70:164(16.4%)
64.60:95(9.5%)
 0 (0.0%)
theta_free [numeric]
Mean (sd) : 0 (1)
min ā‰¤ med ā‰¤ max:
-3.7 ā‰¤ 0 ā‰¤ 2.5
IQR (CV) : 1.2 (12697.3)
 979 distinct values 0 (0.0%)
t_free [numeric]
Mean (sd) : 50 (9.8)
min ā‰¤ med ā‰¤ max:
13.5 ā‰¤ 50.1 ā‰¤ 75.3
IQR (CV) : 12.1 (0.2)
 979 distinct values 0 (0.0%)
theta_promis [numeric]
Mean (sd) : 0 (0.9)
min ā‰¤ med ā‰¤ max:
-3 ā‰¤ 0 ā‰¤ 2.6
IQR (CV) : 1 (21.2)
 979 distinct values 0 (0.0%)
t_promis [numeric]
Mean (sd) : 50.4 (8.6)
min ā‰¤ med ā‰¤ max:
20 ā‰¤ 49.9 ā‰¤ 75.8
IQR (CV) : 9.9 (0.2)
 979 distinct values 0 (0.0%)

Generated by summarytools 1.0.1 (R version 4.2.2)
2024-03-19


Germany

data_ger <- data_complete %>% 
  dplyr::filter(country == "ger")

print(dfSummary(data_ger, 
                varnumbers   = FALSE, 
                valid.col    = FALSE, 
                graph.magnif = 0.76),
      method = 'render')

Data Frame Summary

data_ger

Dimensions: 1000 x 149
Duplicates: 0
Variable Stats / Values Freqs (% of Valid) Graph Missing
country [character] 1. ger
1000(100.0%)
 0 (0.0%)
country_vector [numeric] 1 distinct value
1:1000(100.0%)
 0 (0.0%)
age [numeric]
Mean (sd) : 44.9 (14.5)
min ā‰¤ med ā‰¤ max:
18 ā‰¤ 46 ā‰¤ 69
IQR (CV) : 24 (0.3)
 52 distinct values 0 (0.0%)
gender [numeric]
Mean (sd) : 1.5 (0.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 3
IQR (CV) : 1 (0.3)
1:484(48.4%)
2:513(51.3%)
3:3(0.3%)
 0 (0.0%)
respondent_id [numeric]
Mean (sd) : 1153.1 (659.7)
min ā‰¤ med ā‰¤ max:
69 ā‰¤ 1077.5 ā‰¤ 2613
IQR (CV) : 1060.5 (0.6)
 1000 distinct values 0 (0.0%)
edu [numeric]
Mean (sd) : 4.4 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 6
IQR (CV) : 2 (0.3)
1:3(0.3%)
2:74(7.4%)
3:211(21.1%)
4:184(18.4%)
5:293(29.3%)
6:235(23.5%)
 0 (0.0%)
employment [numeric]
Mean (sd) : 2.9 (2.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 9
IQR (CV) : 4 (0.7)
1:426(42.6%)
2:158(15.8%)
3:46(4.6%)
4:72(7.2%)
5:173(17.3%)
6:101(10.1%)
9:24(2.4%)
 0 (0.0%)
work_hrs [numeric]
Mean (sd) : 22.4 (17.6)
min ā‰¤ med ā‰¤ max:
0 ā‰¤ 28 ā‰¤ 65
IQR (CV) : 40 (0.8)
 50 distinct values 0 (0.0%)
household_size_t1 [numeric]
Mean (sd) : 1.9 (0.9)
min ā‰¤ med ā‰¤ max:
0 ā‰¤ 2 ā‰¤ 10
IQR (CV) : 1 (0.5)
0:1(0.1%)
1:309(30.9%)
2:535(53.5%)
3:93(9.3%)
4:44(4.4%)
5:13(1.3%)
6:3(0.3%)
7:1(0.1%)
10:1(0.1%)
 0 (0.0%)
household_size_t2 [numeric]
Mean (sd) : 0.4 (0.8)
min ā‰¤ med ā‰¤ max:
0 ā‰¤ 0 ā‰¤ 5
IQR (CV) : 1 (1.9)
0:732(73.2%)
1:154(15.4%)
2:83(8.3%)
3:24(2.4%)
4:5(0.5%)
5:2(0.2%)
 0 (0.0%)
tergopag [numeric]
Mean (sd) : 971 (572.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 914.5 ā‰¤ 2008
IQR (CV) : 955.5 (0.6)
 1000 distinct values 0 (0.0%)
SC1_DUMMY [numeric]
Mean (sd) : 3.2 (1)
min ā‰¤ med ā‰¤ max:
2 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.3)
2:294(29.7%)
3:260(26.2%)
4:348(35.1%)
5:89(9.0%)
 9 (0.9%)
GL03 [numeric]
Mean (sd) : 3.1 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:58(5.8%)
2:210(21.0%)
3:389(38.9%)
4:269(26.9%)
5:74(7.4%)
 0 (0.0%)
GL04 [numeric]
Mean (sd) : 3.4 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:28(2.8%)
2:148(14.8%)
3:339(33.9%)
4:327(32.7%)
5:158(15.8%)
 0 (0.0%)
GL05 [numeric]
Mean (sd) : 3.3 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:40(4.0%)
2:162(16.2%)
3:388(38.8%)
4:322(32.2%)
5:88(8.8%)
 0 (0.0%)
GL06 [numeric]
Mean (sd) : 4.4 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:13(1.3%)
2:30(3.0%)
3:126(12.6%)
4:236(23.6%)
5:595(59.5%)
 0 (0.0%)
PFA2 [numeric]
Mean (sd) : 3.7 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:50(5.0%)
2:138(13.8%)
3:205(20.5%)
4:233(23.3%)
5:374(37.4%)
 0 (0.0%)
PFA27 [numeric]
Mean (sd) : 4 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:74(7.4%)
2:57(5.7%)
3:168(16.8%)
4:242(24.2%)
5:459(45.9%)
 0 (0.0%)
PFB4 [numeric]
Mean (sd) : 3.7 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:107(10.7%)
2:117(11.7%)
3:161(16.1%)
4:202(20.2%)
5:413(41.3%)
 0 (0.0%)
PFB45 [numeric]
Mean (sd) : 3.9 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:49(4.9%)
2:100(10.0%)
3:180(18.0%)
4:206(20.6%)
5:465(46.5%)
 0 (0.0%)
PFC8 [numeric]
Mean (sd) : 4.6 (0.8)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:11(1.1%)
2:28(2.8%)
3:68(6.8%)
4:104(10.4%)
5:789(78.9%)
 0 (0.0%)
PFC11 [numeric]
Mean (sd) : 4.1 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:40(4.0%)
2:81(8.1%)
3:136(13.6%)
4:187(18.7%)
5:556(55.6%)
 0 (0.0%)
PFC21 [numeric]
Mean (sd) : 4.1 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:61(6.1%)
2:55(5.5%)
3:126(12.6%)
4:196(19.6%)
5:562(56.2%)
 0 (0.0%)
PFC30 [numeric]
Mean (sd) : 4.2 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:36(3.6%)
2:70(7.0%)
3:123(12.3%)
4:234(23.4%)
5:537(53.7%)
 0 (0.0%)
PFC42 [numeric]
Mean (sd) : 4.3 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:20(2.0%)
2:51(5.1%)
3:89(8.9%)
4:271(27.1%)
5:569(56.9%)
 0 (0.0%)
PFC48 [numeric]
Mean (sd) : 3.6 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:109(10.9%)
2:109(10.9%)
3:159(15.9%)
4:297(29.7%)
5:326(32.6%)
 0 (0.0%)
PFM1 [numeric]
Mean (sd) : 3.8 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:76(7.6%)
2:98(9.8%)
3:162(16.2%)
4:258(25.8%)
5:406(40.6%)
 0 (0.0%)
PFM2 [numeric]
Mean (sd) : 3.9 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:55(5.5%)
2:88(8.8%)
3:147(14.7%)
4:283(28.3%)
5:427(42.7%)
 0 (0.0%)
PFM3 [numeric]
Mean (sd) : 3.6 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:120(12.0%)
2:102(10.2%)
3:158(15.8%)
4:307(30.7%)
5:313(31.3%)
 0 (0.0%)
PFM4 [numeric]
Mean (sd) : 3.3 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:163(16.3%)
2:127(12.7%)
3:192(19.2%)
4:290(29.0%)
5:228(22.8%)
 0 (0.0%)
PFM6 [numeric]
Mean (sd) : 3.6 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:126(12.6%)
2:87(8.7%)
3:190(19.0%)
4:299(29.9%)
5:298(29.8%)
 0 (0.0%)
PFM7 [numeric]
Mean (sd) : 3.6 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:166(16.6%)
2:85(8.5%)
3:157(15.7%)
4:205(20.5%)
5:387(38.7%)
 0 (0.0%)
PFM9 [numeric]
Mean (sd) : 3.8 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:97(9.7%)
2:82(8.2%)
3:138(13.8%)
4:254(25.4%)
5:429(42.9%)
 0 (0.0%)
PFM10 [numeric]
Mean (sd) : 3.2 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 4 (0.5)
1:255(25.5%)
2:109(10.9%)
3:159(15.9%)
4:183(18.3%)
5:294(29.4%)
 0 (0.0%)
PFM12 [numeric]
Mean (sd) : 3.6 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:136(13.6%)
2:100(10.0%)
3:165(16.5%)
4:235(23.5%)
5:364(36.4%)
 0 (0.0%)
PFM15 [numeric]
Mean (sd) : 3.3 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:208(20.8%)
2:102(10.2%)
3:175(17.5%)
4:259(25.9%)
5:256(25.6%)
 0 (0.0%)
PFM16 [numeric]
Mean (sd) : 4.4 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:12(1.2%)
2:45(4.5%)
3:101(10.1%)
4:175(17.5%)
5:667(66.7%)
 0 (0.0%)
PFM17 [numeric]
Mean (sd) : 3.4 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:140(14.0%)
2:124(12.4%)
3:178(17.8%)
4:266(26.6%)
5:292(29.2%)
 0 (0.0%)
PFM18 [numeric]
Mean (sd) : 3.9 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:85(8.5%)
2:70(7.0%)
3:151(15.1%)
4:251(25.1%)
5:443(44.3%)
 0 (0.0%)
PFM19 [numeric]
Mean (sd) : 3.8 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:110(11.0%)
2:86(8.6%)
3:145(14.5%)
4:234(23.4%)
5:425(42.5%)
 0 (0.0%)
PFM21 [numeric]
Mean (sd) : 3.4 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:140(14.0%)
2:139(13.9%)
3:181(18.1%)
4:288(28.8%)
5:252(25.2%)
 0 (0.0%)
PFM23 [numeric]
Mean (sd) : 4 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:79(7.9%)
2:67(6.7%)
3:114(11.4%)
4:211(21.1%)
5:529(52.9%)
 0 (0.0%)
PFM25 [numeric]
Mean (sd) : 4.1 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:75(7.5%)
2:39(3.9%)
3:100(10.0%)
4:237(23.7%)
5:549(54.9%)
 0 (0.0%)
PFM26 [numeric]
Mean (sd) : 4 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:87(8.7%)
2:48(4.8%)
3:107(10.7%)
4:255(25.5%)
5:503(50.3%)
 0 (0.0%)
PFM27 [numeric]
Mean (sd) : 3 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.5)
1:236(23.6%)
2:124(12.4%)
3:195(19.5%)
4:250(25.0%)
5:195(19.5%)
 0 (0.0%)
PFM28 [numeric]
Mean (sd) : 3.9 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:122(12.2%)
2:74(7.4%)
3:120(12.0%)
4:193(19.3%)
5:491(49.1%)
 0 (0.0%)
PFM29 [numeric]
Mean (sd) : 3.9 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:110(11.0%)
2:68(6.8%)
3:110(11.0%)
4:210(21.0%)
5:502(50.2%)
 0 (0.0%)
PFM32 [numeric]
Mean (sd) : 3.4 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:210(21.0%)
2:65(6.5%)
3:141(14.1%)
4:259(25.9%)
5:325(32.5%)
 0 (0.0%)
PFM33 [numeric]
Mean (sd) : 3.7 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:101(10.1%)
2:92(9.2%)
3:155(15.5%)
4:276(27.6%)
5:376(37.6%)
 0 (0.0%)
PFM34 [numeric]
Mean (sd) : 3.9 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:89(8.9%)
2:74(7.4%)
3:125(12.5%)
4:275(27.5%)
5:437(43.7%)
 0 (0.0%)
PFM35 [numeric]
Mean (sd) : 4.1 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:60(6.0%)
2:63(6.3%)
3:115(11.5%)
4:238(23.8%)
5:524(52.4%)
 0 (0.0%)
PFM36 [numeric]
Mean (sd) : 3 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:293(29.3%)
2:99(9.9%)
3:174(17.4%)
4:201(20.1%)
5:233(23.3%)
 0 (0.0%)
PFM37 [numeric]
Mean (sd) : 4.3 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:43(4.3%)
2:55(5.5%)
3:93(9.3%)
4:208(20.8%)
5:601(60.1%)
 0 (0.0%)
PFM38 [numeric]
Mean (sd) : 3.4 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:150(15.0%)
2:127(12.7%)
3:204(20.4%)
4:244(24.4%)
5:275(27.5%)
 0 (0.0%)
PFM40 [numeric]
Mean (sd) : 4.1 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:74(7.4%)
2:76(7.6%)
3:111(11.1%)
4:167(16.7%)
5:572(57.2%)
 0 (0.0%)
PFM43 [numeric]
Mean (sd) : 4.1 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:56(5.6%)
2:68(6.8%)
3:133(13.3%)
4:252(25.2%)
5:491(49.1%)
 0 (0.0%)
PFM44 [numeric]
Mean (sd) : 3 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.5)
1:234(23.4%)
2:140(14.0%)
3:200(20.0%)
4:222(22.2%)
5:204(20.4%)
 0 (0.0%)
PFM46 [numeric]
Mean (sd) : 3.6 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:116(11.6%)
2:122(12.2%)
3:165(16.5%)
4:265(26.5%)
5:332(33.2%)
 0 (0.0%)
PFM49 [numeric]
Mean (sd) : 3.2 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:208(20.8%)
2:119(11.9%)
3:180(18.0%)
4:240(24.0%)
5:253(25.3%)
 0 (0.0%)
PFM51 [numeric]
Mean (sd) : 3.5 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:156(15.6%)
2:116(11.6%)
3:162(16.2%)
4:242(24.2%)
5:324(32.4%)
 0 (0.0%)
PFM53 [numeric]
Mean (sd) : 3.1 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.5)
1:238(23.8%)
2:120(12.0%)
3:194(19.4%)
4:237(23.7%)
5:211(21.1%)
 0 (0.0%)
LOI [numeric]
Mean (sd) : 943.3 (5891.5)
min ā‰¤ med ā‰¤ max:
106 ā‰¤ 379.5 ā‰¤ 130944
IQR (CV) : 220.2 (6.2)
 539 distinct values 0 (0.0%)
fingerprint [character]
1. 007d9417fba0fee63cb44141c
2. 009b3a81ac60bc666001960fc
3. 01476e16dd670bd3e9e29afa2
4. 014878abc15c6ec7ec0bcc883
5. 014d1cf3997be7937850f906e
6. 016916453465a8685f278f5b4
7. 017da442d0752e7504045548e
8. 0190ec7afa3c0d0a514cb7409
9. 019ae53d3b99fdd81c24beae2
10. 01a7c4afb4f7a4d06fcb1bca1
[ 990 others ]
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
990(99.0%)
 0 (0.0%)
complete [numeric] 1 distinct value
1:1000(100.0%)
 0 (0.0%)
screen [numeric] 1 distinct value
0:1000(100.0%)
 0 (0.0%)
quota [numeric] 1 distinct value
0:1000(100.0%)
 0 (0.0%)
language [character] 1. DE
1000(100.0%)
 0 (0.0%)
identifier [character]
1. 00272517-61dc-e8a8-3538-1
2. 004d2a8d-024b-894f-30a2-1
3. 00a8a9bf-285b-8373-9f90-9
4. 011625ac-bf27-a17d-9e84-1
5. 011ef351-9d43-6ead-d479-c
6. 01408247-7296-1f4b-8a6f-b
7. 022c4d7a-f787-85bf-c252-7
8. 0230cf7c-5697-0b6f-2254-f
9. 02445013-ca99-8d62-393c-6
10. 02b8f3e9-bb9c-3e6c-aac6-c
[ 990 others ]
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
1(0.1%)
990(99.0%)
 0 (0.0%)
edu_harmonized [character]
1. Higher Education
2. Primary education
3. Secondary Education
4. Upper secondary education
235(23.5%)
3(0.3%)
285(28.5%)
477(47.7%)
 0 (0.0%)
SD1HIDDEN [numeric]
All NA's
 1000 (100.0%)
PFS1 [numeric]
All NA's
 1000 (100.0%)
PFS2 [numeric]
All NA's
 1000 (100.0%)
PFC12 [numeric]
All NA's
 1000 (100.0%)
PFS3 [numeric]
All NA's
 1000 (100.0%)
PFC33R1 [numeric]
All NA's
 1000 (100.0%)
PFA1 [numeric]
All NA's
 1000 (100.0%)
PFA10 [numeric]
All NA's
 1000 (100.0%)
PFA11 [numeric]
All NA's
 1000 (100.0%)
PFA13 [numeric]
All NA's
 1000 (100.0%)
PFA14R1 [numeric]
All NA's
 1000 (100.0%)
PFA16R1 [numeric]
All NA's
 1000 (100.0%)
PFA17 [numeric]
All NA's
 1000 (100.0%)
PFA18 [numeric]
All NA's
 1000 (100.0%)
PFA20 [numeric]
All NA's
 1000 (100.0%)
PFA21 [numeric]
All NA's
 1000 (100.0%)
PFA23 [numeric]
All NA's
 1000 (100.0%)
PFA25 [numeric]
All NA's
 1000 (100.0%)
PFA28 [numeric]
All NA's
 1000 (100.0%)
PFA29R1 [numeric]
All NA's
 1000 (100.0%)
PFA31R1 [numeric]
All NA's
 1000 (100.0%)
PFA33 [numeric]
All NA's
 1000 (100.0%)
PFA38 [numeric]
All NA's
 1000 (100.0%)
PFA39R1 [numeric]
All NA's
 1000 (100.0%)
PFA4 [numeric]
All NA's
 1000 (100.0%)
PFA41 [numeric]
All NA's
 1000 (100.0%)
PFA42 [numeric]
All NA's
 1000 (100.0%)
PFA44 [numeric]
All NA's
 1000 (100.0%)
PFA5 [numeric]
All NA's
 1000 (100.0%)
PFA6 [numeric]
All NA's
 1000 (100.0%)
PFB1 [numeric]
All NA's
 1000 (100.0%)
PFB11 [numeric]
All NA's
 1000 (100.0%)
PFB22 [numeric]
All NA's
 1000 (100.0%)
PFB24 [numeric]
All NA's
 1000 (100.0%)
PFB25 [numeric]
All NA's
 1000 (100.0%)
PFB26 [numeric]
All NA's
 1000 (100.0%)
PFB27 [numeric]
All NA's
 1000 (100.0%)
PFB33 [numeric]
All NA's
 1000 (100.0%)
PFB36 [numeric]
All NA's
 1000 (100.0%)
PFB44 [numeric]
All NA's
 1000 (100.0%)
PFB48 [numeric]
All NA's
 1000 (100.0%)
PFB50 [numeric]
All NA's
 1000 (100.0%)
PFB51 [numeric]
All NA's
 1000 (100.0%)
PFB5R1 [numeric]
All NA's
 1000 (100.0%)
PFB7 [numeric]
All NA's
 1000 (100.0%)
PFB8R1 [numeric]
All NA's
 1000 (100.0%)
PFB9 [numeric]
All NA's
 1000 (100.0%)
PFC10 [numeric]
All NA's
 1000 (100.0%)
PFC32 [numeric]
All NA's
 1000 (100.0%)
PFC35 [numeric]
All NA's
 1000 (100.0%)
PFC37 [numeric]
All NA's
 1000 (100.0%)
PFC40 [numeric]
All NA's
 1000 (100.0%)
PFC41 [numeric]
All NA's
 1000 (100.0%)
PFC6R1 [numeric]
All NA's
 1000 (100.0%)
PFM5 [numeric]
All NA's
 1000 (100.0%)
PFM8 [numeric]
All NA's
 1000 (100.0%)
PFM11 [numeric]
All NA's
 1000 (100.0%)
PFM13 [numeric]
All NA's
 1000 (100.0%)
PFM14 [numeric]
All NA's
 1000 (100.0%)
PFM20 [numeric]
All NA's
 1000 (100.0%)
PFM22 [numeric]
All NA's
 1000 (100.0%)
PFM24 [numeric]
All NA's
 1000 (100.0%)
PFM30 [numeric]
All NA's
 1000 (100.0%)
PFM31 [numeric]
All NA's
 1000 (100.0%)
PFM39 [numeric]
All NA's
 1000 (100.0%)
PFM41 [numeric]
All NA's
 1000 (100.0%)
PFM42 [numeric]
All NA's
 1000 (100.0%)
PFM45 [numeric]
All NA's
 1000 (100.0%)
PFM47 [numeric]
All NA's
 1000 (100.0%)
PFM48 [numeric]
All NA's
 1000 (100.0%)
PFM50 [numeric]
All NA's
 1000 (100.0%)
PFM52 [numeric]
All NA's
 1000 (100.0%)
global_health_physical_2a_sum_score [numeric]
Mean (sd) : 7.5 (1.6)
min ā‰¤ med ā‰¤ max:
2 ā‰¤ 8 ā‰¤ 10
IQR (CV) : 2 (0.2)
2:5(0.5%)
3:20(2.0%)
4:37(3.7%)
5:64(6.4%)
6:119(11.9%)
7:175(17.5%)
8:302(30.2%)
9:212(21.2%)
10:66(6.6%)
 0 (0.0%)
global_health_physical_2a_t_score [numeric]
Mean (sd) : 48.3 (7.9)
min ā‰¤ med ā‰¤ max:
23.4 ā‰¤ 50 ā‰¤ 63.3
IQR (CV) : 11 (0.2)
23.40:5(0.5%)
29.00:20(2.0%)
33.40:37(3.7%)
37.30:64(6.4%)
41.40:119(11.9%)
45.00:175(17.5%)
50.00:302(30.2%)
56.00:212(21.2%)
63.30:66(6.6%)
 0 (0.0%)
global_health_mental_2a_sum_score [numeric]
Mean (sd) : 6.7 (1.8)
min ā‰¤ med ā‰¤ max:
2 ā‰¤ 7 ā‰¤ 10
IQR (CV) : 2 (0.3)
2:11(1.1%)
3:27(2.7%)
4:69(6.9%)
5:132(13.2%)
6:231(23.1%)
7:178(17.8%)
8:202(20.2%)
9:92(9.2%)
10:58(5.8%)
 0 (0.0%)
global_health_mental_2a_t_score [numeric]
Mean (sd) : 47.7 (7.8)
min ā‰¤ med ā‰¤ max:
25.8 ā‰¤ 48.6 ā‰¤ 64.6
IQR (CV) : 8.4 (0.2)
25.80:11(1.1%)
32.00:27(2.7%)
36.50:69(6.9%)
40.60:132(13.2%)
44.40:231(23.1%)
48.60:178(17.8%)
52.80:202(20.2%)
57.70:92(9.2%)
64.60:58(5.8%)
 0 (0.0%)
theta_free [numeric]
Mean (sd) : 0 (1)
min ā‰¤ med ā‰¤ max:
-3.2 ā‰¤ 0.1 ā‰¤ 2.3
IQR (CV) : 1.2 (-533)
 963 distinct values 0 (0.0%)
t_free [numeric]
Mean (sd) : 50 (9.9)
min ā‰¤ med ā‰¤ max:
17.6 ā‰¤ 50.9 ā‰¤ 72.7
IQR (CV) : 12.4 (0.2)
 963 distinct values 0 (0.0%)
theta_promis [numeric]
Mean (sd) : -0.1 (1.1)
min ā‰¤ med ā‰¤ max:
-3.5 ā‰¤ -0.1 ā‰¤ 2.6
IQR (CV) : 1.3 (-13.6)
 963 distinct values 0 (0.0%)
t_promis [numeric]
Mean (sd) : 49.2 (11.3)
min ā‰¤ med ā‰¤ max:
14.6 ā‰¤ 49.4 ā‰¤ 75.8
IQR (CV) : 13.5 (0.2)
 963 distinct values 0 (0.0%)

Generated by summarytools 1.0.1 (R version 4.2.2)
2024-03-19


US

data_usa <- data_complete %>% 
  dplyr::filter(country == "usa")

print(dfSummary(data_usa, 
                varnumbers   = FALSE, 
                valid.col    = FALSE, 
                graph.magnif = 0.76),
      method = 'render')

Data Frame Summary

data_usa

Dimensions: 1600 x 149
Duplicates: 0
Variable Stats / Values Freqs (% of Valid) Graph Missing
country [character] 1. usa
1600(100.0%)
 0 (0.0%)
country_vector [numeric] 1 distinct value
3:1600(100.0%)
 0 (0.0%)
age [numeric]
Mean (sd) : 44.3 (16.1)
min ā‰¤ med ā‰¤ max:
18 ā‰¤ 43 ā‰¤ 88
IQR (CV) : 28 (0.4)
 67 distinct values 0 (0.0%)
gender [numeric]
Min : 1
Mean : 1.6
Max : 2
1:674(42.1%)
2:926(57.9%)
 0 (0.0%)
respondent_id [numeric]
Mean (sd) : 33286.5 (12111.8)
min ā‰¤ med ā‰¤ max:
246 ā‰¤ 40212.5 ā‰¤ 43253
IQR (CV) : 12626 (0.4)
 1600 distinct values 0 (0.0%)
edu [numeric]
Mean (sd) : 3.1 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:115(7.2%)
2:398(24.9%)
3:459(28.7%)
4:448(28.0%)
5:180(11.2%)
 0 (0.0%)
employment [numeric]
All NA's
 1600 (100.0%)
work_hrs [numeric]
All NA's
 1600 (100.0%)
household_size_t1 [numeric]
All NA's
 1600 (100.0%)
household_size_t2 [numeric]
All NA's
 1600 (100.0%)
tergopag [numeric]
All NA's
 1600 (100.0%)
SC1_DUMMY [numeric]
All NA's
 1600 (100.0%)
GL03 [numeric]
All NA's
 1600 (100.0%)
GL04 [numeric]
All NA's
 1600 (100.0%)
GL05 [numeric]
All NA's
 1600 (100.0%)
GL06 [numeric]
All NA's
 1600 (100.0%)
PFA2 [numeric]
All NA's
 1600 (100.0%)
PFA27 [numeric]
All NA's
 1600 (100.0%)
PFB4 [numeric]
All NA's
 1600 (100.0%)
PFB45 [numeric]
All NA's
 1600 (100.0%)
PFC8 [numeric]
All NA's
 1600 (100.0%)
PFC11 [numeric]
All NA's
 1600 (100.0%)
PFC21 [numeric]
All NA's
 1600 (100.0%)
PFC30 [numeric]
All NA's
 1600 (100.0%)
PFC42 [numeric]
All NA's
 1600 (100.0%)
PFC48 [numeric]
All NA's
 1600 (100.0%)
PFM1 [numeric]
Mean (sd) : 3.5 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:214(13.4%)
2:214(13.4%)
3:227(14.2%)
4:374(23.4%)
5:571(35.7%)
 0 (0.0%)
PFM2 [numeric]
Mean (sd) : 3.8 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:155(9.7%)
2:154(9.6%)
3:255(15.9%)
4:389(24.3%)
5:647(40.4%)
 0 (0.0%)
PFM3 [numeric]
Mean (sd) : 3.4 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:276(17.2%)
2:177(11.1%)
3:262(16.4%)
4:396(24.8%)
5:489(30.6%)
 0 (0.0%)
PFM4 [numeric]
Mean (sd) : 2.9 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:422(26.4%)
2:204(12.8%)
3:318(19.9%)
4:349(21.8%)
5:307(19.2%)
 0 (0.0%)
PFM6 [numeric]
Mean (sd) : 3.3 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:314(19.6%)
2:184(11.5%)
3:278(17.4%)
4:408(25.5%)
5:416(26.0%)
 0 (0.0%)
PFM7 [numeric]
Mean (sd) : 3.6 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:325(20.3%)
2:130(8.1%)
3:161(10.1%)
4:274(17.1%)
5:710(44.4%)
 0 (0.0%)
PFM9 [numeric]
Mean (sd) : 3.6 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:238(14.9%)
2:160(10.0%)
3:213(13.3%)
4:339(21.2%)
5:650(40.6%)
 0 (0.0%)
PFM10 [numeric]
Mean (sd) : 3.1 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 4 (0.5)
1:430(26.9%)
2:185(11.6%)
3:217(13.6%)
4:277(17.3%)
5:491(30.7%)
 0 (0.0%)
PFM12 [numeric]
Mean (sd) : 3.6 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:220(13.8%)
2:159(9.9%)
3:235(14.7%)
4:335(20.9%)
5:651(40.7%)
 0 (0.0%)
PFM15 [numeric]
Mean (sd) : 3.5 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:294(18.4%)
2:153(9.6%)
3:208(13.0%)
4:313(19.6%)
5:632(39.5%)
 0 (0.0%)
PFM16 [numeric]
Mean (sd) : 4 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:123(7.7%)
2:121(7.6%)
3:184(11.5%)
4:365(22.8%)
5:807(50.4%)
 0 (0.0%)
PFM17 [numeric]
Mean (sd) : 3.4 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:262(16.4%)
2:208(13.0%)
3:239(14.9%)
4:398(24.9%)
5:493(30.8%)
 0 (0.0%)
PFM18 [numeric]
Mean (sd) : 3.7 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:200(12.5%)
2:155(9.7%)
3:210(13.1%)
4:378(23.6%)
5:657(41.1%)
 0 (0.0%)
PFM19 [numeric]
Mean (sd) : 3.6 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:321(20.1%)
2:131(8.2%)
3:168(10.5%)
4:272(17.0%)
5:708(44.2%)
 0 (0.0%)
PFM21 [numeric]
Mean (sd) : 3 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:428(26.8%)
2:195(12.2%)
3:306(19.1%)
4:321(20.1%)
5:350(21.9%)
 0 (0.0%)
PFM23 [numeric]
Mean (sd) : 3.9 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:198(12.4%)
2:126(7.9%)
3:163(10.2%)
4:310(19.4%)
5:803(50.2%)
 0 (0.0%)
PFM25 [numeric]
Mean (sd) : 3.9 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:198(12.4%)
2:107(6.7%)
3:176(11.0%)
4:333(20.8%)
5:786(49.1%)
 0 (0.0%)
PFM26 [numeric]
Mean (sd) : 3.5 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:285(17.8%)
2:133(8.3%)
3:227(14.2%)
4:351(21.9%)
5:604(37.8%)
 0 (0.0%)
PFM27 [numeric]
Mean (sd) : 3 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:423(26.4%)
2:188(11.8%)
3:254(15.9%)
4:356(22.2%)
5:379(23.7%)
 0 (0.0%)
PFM28 [numeric]
Mean (sd) : 3.8 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:225(14.1%)
2:141(8.8%)
3:167(10.4%)
4:291(18.2%)
5:776(48.5%)
 0 (0.0%)
PFM29 [numeric]
Mean (sd) : 3.6 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:258(16.1%)
2:146(9.1%)
3:201(12.6%)
4:402(25.1%)
5:593(37.1%)
 0 (0.0%)
PFM32 [numeric]
Mean (sd) : 3.2 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 4 (0.5)
1:410(25.6%)
2:167(10.4%)
3:242(15.1%)
4:310(19.4%)
5:471(29.4%)
 0 (0.0%)
PFM33 [numeric]
Mean (sd) : 3.2 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:364(22.8%)
2:189(11.8%)
3:226(14.1%)
4:368(23.0%)
5:453(28.3%)
 0 (0.0%)
PFM34 [numeric]
Mean (sd) : 3.9 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:147(9.2%)
2:157(9.8%)
3:175(10.9%)
4:352(22.0%)
5:769(48.1%)
 0 (0.0%)
PFM35 [numeric]
Mean (sd) : 4.1 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:118(7.4%)
2:112(7.0%)
3:154(9.6%)
4:309(19.3%)
5:907(56.7%)
 0 (0.0%)
PFM36 [numeric]
Mean (sd) : 3.3 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:385(24.1%)
2:163(10.2%)
3:222(13.9%)
4:304(19.0%)
5:526(32.9%)
 0 (0.0%)
PFM37 [numeric]
Mean (sd) : 4.1 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:129(8.1%)
2:105(6.6%)
3:149(9.3%)
4:232(14.5%)
5:985(61.6%)
 0 (0.0%)
PFM38 [numeric]
Mean (sd) : 3.4 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:301(18.8%)
2:189(11.8%)
3:252(15.8%)
4:347(21.7%)
5:511(31.9%)
 0 (0.0%)
PFM40 [numeric]
Mean (sd) : 4.1 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:150(9.4%)
2:125(7.8%)
3:142(8.9%)
4:257(16.1%)
5:926(57.9%)
 0 (0.0%)
PFM43 [numeric]
Mean (sd) : 3.5 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:239(14.9%)
2:182(11.4%)
3:230(14.4%)
4:364(22.8%)
5:585(36.6%)
 0 (0.0%)
PFM44 [numeric]
Mean (sd) : 3.1 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.5)
1:383(23.9%)
2:232(14.5%)
3:247(15.4%)
4:350(21.9%)
5:388(24.2%)
 0 (0.0%)
PFM46 [numeric]
Mean (sd) : 3.4 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:270(16.9%)
2:177(11.1%)
3:254(15.9%)
4:387(24.2%)
5:512(32.0%)
 0 (0.0%)
PFM49 [numeric]
Mean (sd) : 3.2 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:361(22.6%)
2:186(11.6%)
3:242(15.1%)
4:333(20.8%)
5:478(29.9%)
 0 (0.0%)
PFM51 [numeric]
Mean (sd) : 2.9 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:498(31.1%)
2:173(10.8%)
3:274(17.1%)
4:324(20.2%)
5:331(20.7%)
 0 (0.0%)
PFM53 [numeric]
Mean (sd) : 3.1 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.5)
1:374(23.4%)
2:168(10.5%)
3:308(19.2%)
4:362(22.6%)
5:388(24.2%)
 0 (0.0%)
LOI [numeric]
All NA's
 1600 (100.0%)
fingerprint [character]
All NA's
 1600 (100.0%)
complete [numeric]
All NA's
 1600 (100.0%)
screen [numeric]
All NA's
 1600 (100.0%)
quota [numeric]
All NA's
 1600 (100.0%)
language [character] 1. english
1600(100.0%)
 0 (0.0%)
identifier [character]
All NA's
 1600 (100.0%)
edu_harmonized [character]
1. Basic Education
2. Higher Education
3. Secondary Education
4. Vocational/Some College
115(7.2%)
628(39.2%)
398(24.9%)
459(28.7%)
 0 (0.0%)
SD1HIDDEN [numeric]
Mean (sd) : 3.4 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 6
IQR (CV) : 3 (0.5)
1:185(11.6%)
2:372(23.2%)
3:291(18.2%)
4:274(17.1%)
5:250(15.6%)
6:228(14.2%)
 0 (0.0%)
PFS1 [numeric]
Min : 1
Mean : 1.3
Max : 2
1:1172(73.2%)
2:428(26.8%)
 0 (0.0%)
PFS2 [numeric]
Min : 1
Mean : 1.6
Max : 2
1:671(41.9%)
2:929(58.1%)
 0 (0.0%)
PFC12 [numeric]
Mean (sd) : 3.8 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:115(7.2%)
2:174(10.9%)
3:263(16.4%)
4:347(21.7%)
5:701(43.8%)
 0 (0.0%)
PFS3 [numeric]
Mean (sd) : 2.5 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:607(37.9%)
2:244(15.2%)
3:308(19.2%)
4:264(16.5%)
5:177(11.1%)
 0 (0.0%)
PFC33R1 [numeric]
Mean (sd) : 2.1 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 2 (0.6)
1:786(49.1%)
2:260(16.2%)
3:243(15.2%)
4:200(12.5%)
5:111(6.9%)
 0 (0.0%)
PFA1 [numeric]
Mean (sd) : 3.5 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:210(13.1%)
2:226(14.1%)
3:272(17.0%)
4:290(18.1%)
5:602(37.6%)
 0 (0.0%)
PFA10 [numeric]
Mean (sd) : 4.2 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:102(6.4%)
2:119(7.4%)
3:137(8.6%)
4:246(15.4%)
5:996(62.3%)
 0 (0.0%)
PFA11 [numeric]
Mean (sd) : 4.3 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:52(3.2%)
2:100(6.2%)
3:146(9.1%)
4:248(15.5%)
5:1054(65.9%)
 0 (0.0%)
PFA13 [numeric]
Mean (sd) : 3.8 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:168(10.5%)
2:131(8.2%)
3:251(15.7%)
4:424(26.5%)
5:626(39.1%)
 0 (0.0%)
PFA14R1 [numeric]
Mean (sd) : 4.3 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:85(5.3%)
2:78(4.9%)
3:165(10.3%)
4:270(16.9%)
5:1002(62.6%)
 0 (0.0%)
PFA16R1 [numeric]
Mean (sd) : 4.7 (0.8)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:19(1.2%)
2:40(2.5%)
3:100(6.2%)
4:144(9.0%)
5:1297(81.1%)
 0 (0.0%)
PFA17 [numeric]
Mean (sd) : 4.4 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:34(2.1%)
2:88(5.5%)
3:126(7.9%)
4:293(18.3%)
5:1059(66.2%)
 0 (0.0%)
PFA18 [numeric]
Mean (sd) : 4.6 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:28(1.8%)
2:65(4.1%)
3:92(5.8%)
4:157(9.8%)
5:1258(78.6%)
 0 (0.0%)
PFA20 [numeric]
Mean (sd) : 4.7 (0.7)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:13(0.8%)
2:44(2.8%)
3:68(4.2%)
4:107(6.7%)
5:1368(85.5%)
 0 (0.0%)
PFA21 [numeric]
Mean (sd) : 4.3 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:64(4.0%)
2:111(6.9%)
3:139(8.7%)
4:261(16.3%)
5:1025(64.1%)
 0 (0.0%)
PFA23 [numeric]
Mean (sd) : 4.4 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:74(4.6%)
2:88(5.5%)
3:102(6.4%)
4:184(11.5%)
5:1152(72.0%)
 0 (0.0%)
PFA25 [numeric]
Mean (sd) : 4.2 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:85(5.3%)
2:125(7.8%)
3:180(11.2%)
4:265(16.6%)
5:945(59.1%)
 0 (0.0%)
PFA28 [numeric]
Mean (sd) : 4.6 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:18(1.1%)
2:58(3.6%)
3:114(7.1%)
4:183(11.4%)
5:1227(76.7%)
 0 (0.0%)
PFA29R1 [numeric]
Mean (sd) : 4.3 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:77(4.8%)
2:76(4.8%)
3:121(7.6%)
4:265(16.6%)
5:1060(66.3%)
 1 (0.1%)
PFA31R1 [numeric]
Mean (sd) : 4.2 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:70(4.4%)
2:118(7.4%)
3:170(10.6%)
4:256(16.0%)
5:986(61.6%)
 0 (0.0%)
PFA33 [numeric]
Mean (sd) : 3.8 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:170(10.6%)
2:149(9.3%)
3:231(14.4%)
4:386(24.1%)
5:664(41.5%)
 0 (0.0%)
PFA38 [numeric]
Mean (sd) : 4.6 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:17(1.1%)
2:61(3.8%)
3:109(6.8%)
4:179(11.2%)
5:1234(77.1%)
 0 (0.0%)
PFA39R1 [numeric]
Mean (sd) : 2.9 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:486(30.4%)
2:214(13.4%)
3:291(18.2%)
4:262(16.4%)
5:347(21.7%)
 0 (0.0%)
PFA4 [numeric]
Mean (sd) : 4 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:111(6.9%)
2:152(9.5%)
3:227(14.2%)
4:275(17.2%)
5:835(52.2%)
 0 (0.0%)
PFA41 [numeric]
Mean (sd) : 4.1 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:108(6.8%)
2:127(7.9%)
3:179(11.2%)
4:310(19.4%)
5:876(54.8%)
 0 (0.0%)
PFA42 [numeric]
Mean (sd) : 4.3 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:78(4.9%)
2:95(5.9%)
3:140(8.8%)
4:246(15.4%)
5:1041(65.1%)
 0 (0.0%)
PFA44 [numeric]
Mean (sd) : 4.7 (0.7)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.1)
1:7(0.4%)
2:33(2.1%)
3:82(5.1%)
4:130(8.1%)
5:1348(84.2%)
 0 (0.0%)
PFA5 [numeric]
Mean (sd) : 4.3 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:38(2.4%)
2:125(7.8%)
3:155(9.7%)
4:228(14.2%)
5:1054(65.9%)
 0 (0.0%)
PFA6 [numeric]
Mean (sd) : 4.6 (0.8)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:16(1.0%)
2:58(3.6%)
3:113(7.1%)
4:150(9.4%)
5:1263(78.9%)
 0 (0.0%)
PFB1 [numeric]
Mean (sd) : 4.4 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:39(2.4%)
2:126(7.9%)
3:144(9.0%)
4:207(12.9%)
5:1084(67.8%)
 0 (0.0%)
PFB11 [numeric]
Mean (sd) : 4.6 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:23(1.4%)
2:70(4.4%)
3:108(6.8%)
4:148(9.2%)
5:1251(78.2%)
 0 (0.0%)
PFB22 [numeric]
Mean (sd) : 4.7 (0.7)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:10(0.6%)
2:50(3.1%)
3:72(4.5%)
4:119(7.4%)
5:1349(84.3%)
 0 (0.0%)
PFB24 [numeric]
Mean (sd) : 4 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:152(9.5%)
2:116(7.2%)
3:154(9.6%)
4:307(19.2%)
5:871(54.4%)
 0 (0.0%)
PFB25 [numeric]
Mean (sd) : 4.7 (0.7)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:12(0.8%)
2:36(2.2%)
3:83(5.2%)
4:119(7.4%)
5:1350(84.4%)
 0 (0.0%)
PFB26 [numeric]
Mean (sd) : 4.7 (0.7)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:15(0.9%)
2:31(1.9%)
3:88(5.5%)
4:119(7.4%)
5:1347(84.2%)
 0 (0.0%)
PFB27 [numeric]
Mean (sd) : 4.7 (0.8)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:16(1.0%)
2:35(2.2%)
3:99(6.2%)
4:118(7.4%)
5:1332(83.2%)
 0 (0.0%)
PFB33 [numeric]
Mean (sd) : 4.7 (0.8)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:12(0.8%)
2:47(2.9%)
3:82(5.1%)
4:120(7.5%)
5:1339(83.7%)
 0 (0.0%)
PFB36 [numeric]
Mean (sd) : 4.7 (0.7)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:10(0.6%)
2:35(2.2%)
3:102(6.4%)
4:141(8.8%)
5:1312(82.0%)
 0 (0.0%)
PFB44 [numeric]
Mean (sd) : 4.3 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:58(3.6%)
2:126(7.9%)
3:160(10.0%)
4:228(14.2%)
5:1028(64.2%)
 0 (0.0%)
PFB48 [numeric]
Mean (sd) : 4.6 (0.8)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:17(1.1%)
2:54(3.4%)
3:108(6.8%)
4:134(8.4%)
5:1287(80.4%)
 0 (0.0%)
PFB50 [numeric]
Mean (sd) : 4.3 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:24(1.5%)
2:139(8.7%)
3:169(10.6%)
4:344(21.5%)
5:924(57.8%)
 0 (0.0%)
PFB51 [numeric]
Mean (sd) : 3.8 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:176(11.0%)
2:177(11.1%)
3:226(14.1%)
4:284(17.8%)
5:737(46.1%)
 0 (0.0%)
PFB5R1 [numeric]
Mean (sd) : 3.7 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:200(12.5%)
2:147(9.2%)
3:254(15.9%)
4:333(20.8%)
5:665(41.6%)
 1 (0.1%)
PFB7 [numeric]
Mean (sd) : 3.6 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:215(13.4%)
2:193(12.1%)
3:263(16.4%)
4:283(17.7%)
5:646(40.4%)
 0 (0.0%)
PFB8R1 [numeric]
Mean (sd) : 4.2 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:93(5.8%)
2:90(5.6%)
3:154(9.6%)
4:273(17.1%)
5:990(61.9%)
 0 (0.0%)
PFB9 [numeric]
Mean (sd) : 4.2 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:84(5.2%)
2:128(8.0%)
3:125(7.8%)
4:258(16.1%)
5:1005(62.8%)
 0 (0.0%)
PFC10 [numeric]
Mean (sd) : 4 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:96(6.0%)
2:179(11.2%)
3:214(13.4%)
4:299(18.7%)
5:812(50.7%)
 0 (0.0%)
PFC32 [numeric]
Mean (sd) : 3.8 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:135(8.4%)
2:171(10.7%)
3:212(13.2%)
4:367(22.9%)
5:715(44.7%)
 0 (0.0%)
PFC35 [numeric]
Mean (sd) : 3.5 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:240(15.0%)
2:178(11.1%)
3:257(16.1%)
4:340(21.2%)
5:585(36.6%)
 0 (0.0%)
PFC37 [numeric]
Mean (sd) : 4.3 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:53(3.3%)
2:121(7.6%)
3:143(8.9%)
4:210(13.1%)
5:1073(67.1%)
 0 (0.0%)
PFC40 [numeric]
Mean (sd) : 4.2 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:76(4.8%)
2:126(7.9%)
3:154(9.6%)
4:297(18.6%)
5:947(59.2%)
 0 (0.0%)
PFC41 [numeric]
Mean (sd) : 4.4 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:27(1.7%)
2:84(5.2%)
3:155(9.7%)
4:278(17.4%)
5:1056(66.0%)
 0 (0.0%)
PFC6R1 [numeric]
Mean (sd) : 4.5 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:50(3.1%)
2:79(4.9%)
3:106(6.6%)
4:189(11.8%)
5:1175(73.5%)
 1 (0.1%)
PFM5 [numeric]
Mean (sd) : 4.5 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:39(2.4%)
2:78(4.9%)
3:98(6.1%)
4:198(12.4%)
5:1187(74.2%)
 0 (0.0%)
PFM8 [numeric]
Mean (sd) : 2.8 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:522(32.6%)
2:209(13.1%)
3:282(17.6%)
4:297(18.6%)
5:290(18.1%)
 0 (0.0%)
PFM11 [numeric]
Mean (sd) : 2.5 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:718(44.9%)
2:173(10.8%)
3:190(11.9%)
4:249(15.6%)
5:270(16.9%)
 0 (0.0%)
PFM13 [numeric]
Mean (sd) : 3.5 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:304(19.0%)
2:157(9.8%)
3:218(13.6%)
4:336(21.0%)
5:585(36.6%)
 0 (0.0%)
PFM14 [numeric]
Mean (sd) : 2.8 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:502(31.4%)
2:219(13.7%)
3:254(15.9%)
4:287(17.9%)
5:338(21.1%)
 0 (0.0%)
PFM20 [numeric]
Mean (sd) : 2.6 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:599(37.4%)
2:226(14.1%)
3:300(18.8%)
4:227(14.2%)
5:248(15.5%)
 0 (0.0%)
PFM22 [numeric]
Mean (sd) : 2.5 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:604(37.8%)
2:290(18.1%)
3:254(15.9%)
4:224(14.0%)
5:228(14.2%)
 0 (0.0%)
PFM24 [numeric]
Mean (sd) : 3 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:455(28.4%)
2:188(11.8%)
3:273(17.1%)
4:296(18.5%)
5:388(24.2%)
 0 (0.0%)
PFM30 [numeric]
Mean (sd) : 3.2 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 4 (0.5)
1:403(25.2%)
2:170(10.6%)
3:231(14.4%)
4:325(20.3%)
5:471(29.4%)
 0 (0.0%)
PFM31 [numeric]
Mean (sd) : 2.5 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:644(40.2%)
2:252(15.8%)
3:240(15.0%)
4:220(13.8%)
5:244(15.2%)
 0 (0.0%)
PFM39 [numeric]
Mean (sd) : 2.7 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:517(32.3%)
2:253(15.8%)
3:269(16.8%)
4:255(15.9%)
5:306(19.1%)
 0 (0.0%)
PFM41 [numeric]
Mean (sd) : 2.6 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:651(40.7%)
2:181(11.3%)
3:217(13.6%)
4:229(14.3%)
5:322(20.1%)
 0 (0.0%)
PFM42 [numeric]
Mean (sd) : 3 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.5)
1:379(23.7%)
2:244(15.2%)
3:318(19.9%)
4:326(20.4%)
5:333(20.8%)
 0 (0.0%)
PFM45 [numeric]
Mean (sd) : 2.1 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 1 ā‰¤ 5
IQR (CV) : 2 (0.7)
1:856(53.5%)
2:244(15.2%)
3:169(10.6%)
4:151(9.4%)
5:180(11.2%)
 0 (0.0%)
PFM47 [numeric]
Mean (sd) : 2.7 (1.7)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:702(43.9%)
2:116(7.2%)
3:155(9.7%)
4:239(14.9%)
5:388(24.2%)
 0 (0.0%)
PFM48 [numeric]
Mean (sd) : 2.2 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 1 ā‰¤ 5
IQR (CV) : 3 (0.7)
1:871(54.4%)
2:148(9.2%)
3:178(11.1%)
4:172(10.8%)
5:231(14.4%)
 0 (0.0%)
PFM50 [numeric]
Mean (sd) : 2.8 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:472(29.5%)
2:283(17.7%)
3:286(17.9%)
4:261(16.3%)
5:298(18.6%)
 0 (0.0%)
PFM52 [numeric]
Mean (sd) : 2.6 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:536(33.5%)
2:273(17.1%)
3:300(18.8%)
4:252(15.8%)
5:239(14.9%)
 0 (0.0%)
global_health_physical_2a_sum_score [numeric]
All NA's
 1600 (100.0%)
global_health_physical_2a_t_score [numeric]
All NA's
 1600 (100.0%)
global_health_mental_2a_sum_score [numeric]
All NA's
 1600 (100.0%)
global_health_mental_2a_t_score [numeric]
All NA's
 1600 (100.0%)
theta_free [numeric]
Mean (sd) : 0 (1)
min ā‰¤ med ā‰¤ max:
-2.7 ā‰¤ 0.1 ā‰¤ 2.1
IQR (CV) : 1.2 (310.7)
 1485 distinct values 0 (0.0%)
t_free [numeric]
Mean (sd) : 50 (9.8)
min ā‰¤ med ā‰¤ max:
23.3 ā‰¤ 50.7 ā‰¤ 70.7
IQR (CV) : 12.3 (0.2)
 1485 distinct values 0 (0.0%)
theta_promis [numeric]
Mean (sd) : -0.2 (1.3)
min ā‰¤ med ā‰¤ max:
-3.5 ā‰¤ -0.2 ā‰¤ 2.6
IQR (CV) : 1.7 (-7)
 1485 distinct values 0 (0.0%)
t_promis [numeric]
Mean (sd) : 48.1 (13.4)
min ā‰¤ med ā‰¤ max:
14.6 ā‰¤ 48.3 ā‰¤ 75.8
IQR (CV) : 16.6 (0.3)
 1485 distinct values 0 (0.0%)

Generated by summarytools 1.0.1 (R version 4.2.2)
2024-03-19


Argentina, Germany, US

print(dfSummary(data_complete, 
                varnumbers   = FALSE, 
                valid.col    = FALSE, 
                graph.magnif = 0.76),
      method = 'render')

Data Frame Summary

data_complete

Dimensions: 3601 x 149
Duplicates: 0
Variable Stats / Values Freqs (% of Valid) Graph Missing
country [character]
1. arg
2. ger
3. usa
1001(27.8%)
1000(27.8%)
1600(44.4%)
 0 (0.0%)
country_vector [numeric]
Mean (sd) : 2.2 (0.8)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 3
IQR (CV) : 2 (0.4)
1:1000(27.8%)
2:1001(27.8%)
3:1600(44.4%)
 0 (0.0%)
age [numeric]
Mean (sd) : 42 (15.1)
min ā‰¤ med ā‰¤ max:
18 ā‰¤ 40 ā‰¤ 88
IQR (CV) : 25 (0.4)
 67 distinct values 0 (0.0%)
gender [numeric]
Mean (sd) : 1.5 (0.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 3
IQR (CV) : 1 (0.3)
1:1659(46.1%)
2:1928(53.5%)
3:14(0.4%)
 0 (0.0%)
respondent_id [numeric]
Mean (sd) : 15452.4 (17882.6)
min ā‰¤ med ā‰¤ max:
69 ā‰¤ 2045 ā‰¤ 43253
IQR (CV) : 39038 (1.2)
 3576 distinct values 0 (0.0%)
edu [numeric]
Mean (sd) : 3.6 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 6
IQR (CV) : 2 (0.4)
1:136(3.8%)
2:738(20.5%)
3:850(23.6%)
4:819(22.7%)
5:715(19.9%)
6:343(9.5%)
 0 (0.0%)
employment [numeric]
Mean (sd) : 2.7 (2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 9
IQR (CV) : 3 (0.7)
1:888(44.4%)
2:290(14.5%)
3:217(10.8%)
4:167(8.3%)
5:183(9.1%)
6:211(10.5%)
9:45(2.2%)
 1600 (44.4%)
work_hrs [numeric]
Mean (sd) : 24.2 (18.1)
min ā‰¤ med ā‰¤ max:
0 ā‰¤ 30 ā‰¤ 96
IQR (CV) : 35 (0.7)
 66 distinct values 1600 (44.4%)
household_size_t1 [numeric]
Mean (sd) : 2.3 (1.4)
min ā‰¤ med ā‰¤ max:
0 ā‰¤ 2 ā‰¤ 34
IQR (CV) : 1 (0.6)
 12 distinct values 1600 (44.4%)
household_size_t2 [numeric]
Mean (sd) : 0.8 (1.7)
min ā‰¤ med ā‰¤ max:
0 ā‰¤ 0 ā‰¤ 40
IQR (CV) : 1 (2.1)
 13 distinct values 1600 (44.4%)
tergopag [numeric]
Mean (sd) : 1007.8 (578.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 1008 ā‰¤ 2008
IQR (CV) : 1000 (0.6)
 2001 distinct values 1600 (44.4%)
SC1_DUMMY [numeric]
Mean (sd) : 2.9 (0.9)
min ā‰¤ med ā‰¤ max:
2 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.3)
2:795(40.0%)
3:616(31.0%)
4:481(24.2%)
5:96(4.8%)
 1613 (44.8%)
GL03 [numeric]
Mean (sd) : 3.4 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:74(3.7%)
2:281(14.0%)
3:720(36.0%)
4:686(34.3%)
5:240(12.0%)
 1600 (44.4%)
GL04 [numeric]
Mean (sd) : 3.6 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:39(1.9%)
2:221(11.0%)
3:598(29.9%)
4:756(37.8%)
5:387(19.3%)
 1600 (44.4%)
GL05 [numeric]
Mean (sd) : 3.4 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:60(3.0%)
2:275(13.7%)
3:712(35.6%)
4:695(34.7%)
5:259(12.9%)
 1600 (44.4%)
GL06 [numeric]
Mean (sd) : 4.3 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:27(1.3%)
2:97(4.8%)
3:311(15.5%)
4:461(23.0%)
5:1105(55.2%)
 1600 (44.4%)
PFA2 [numeric]
Mean (sd) : 3.9 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:58(2.9%)
2:199(9.9%)
3:416(20.8%)
4:494(24.7%)
5:834(41.7%)
 1600 (44.4%)
PFA27 [numeric]
Mean (sd) : 4 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:102(5.1%)
2:99(4.9%)
3:355(17.7%)
4:516(25.8%)
5:929(46.4%)
 1600 (44.4%)
PFB4 [numeric]
Mean (sd) : 4 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:113(5.6%)
2:163(8.1%)
3:282(14.1%)
4:424(21.2%)
5:1019(50.9%)
 1600 (44.4%)
PFB45 [numeric]
Mean (sd) : 4.1 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:77(3.8%)
2:151(7.5%)
3:308(15.4%)
4:449(22.4%)
5:1016(50.8%)
 1600 (44.4%)
PFC8 [numeric]
Mean (sd) : 4.7 (0.8)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:20(1.0%)
2:55(2.7%)
3:113(5.6%)
4:177(8.8%)
5:1636(81.8%)
 1600 (44.4%)
PFC11 [numeric]
Mean (sd) : 4.4 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:49(2.4%)
2:116(5.8%)
3:192(9.6%)
4:343(17.1%)
5:1301(65.0%)
 1600 (44.4%)
PFC21 [numeric]
Mean (sd) : 4.3 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:81(4.0%)
2:83(4.1%)
3:204(10.2%)
4:329(16.4%)
5:1304(65.2%)
 1600 (44.4%)
PFC30 [numeric]
Mean (sd) : 4.3 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:43(2.1%)
2:93(4.6%)
3:226(11.3%)
4:532(26.6%)
5:1107(55.3%)
 1600 (44.4%)
PFC42 [numeric]
Mean (sd) : 4.4 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:33(1.6%)
2:80(4.0%)
3:191(9.5%)
4:537(26.8%)
5:1160(58.0%)
 1600 (44.4%)
PFC48 [numeric]
Mean (sd) : 3.8 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:132(6.6%)
2:175(8.7%)
3:388(19.4%)
4:643(32.1%)
5:663(33.1%)
 1600 (44.4%)
PFM1 [numeric]
Mean (sd) : 3.7 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:334(9.3%)
2:398(11.1%)
3:590(16.4%)
4:933(25.9%)
5:1346(37.4%)
 0 (0.0%)
PFM2 [numeric]
Mean (sd) : 3.9 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:226(6.3%)
2:285(7.9%)
3:544(15.1%)
4:966(26.8%)
5:1580(43.9%)
 0 (0.0%)
PFM3 [numeric]
Mean (sd) : 3.6 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:422(11.7%)
2:347(9.6%)
3:597(16.6%)
4:1003(27.9%)
5:1232(34.2%)
 0 (0.0%)
PFM4 [numeric]
Mean (sd) : 3.2 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:653(18.1%)
2:460(12.8%)
3:805(22.4%)
4:969(26.9%)
5:714(19.8%)
 0 (0.0%)
PFM6 [numeric]
Mean (sd) : 3.5 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:485(13.5%)
2:352(9.8%)
3:688(19.1%)
4:1027(28.5%)
5:1049(29.1%)
 0 (0.0%)
PFM7 [numeric]
Mean (sd) : 3.7 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:537(14.9%)
2:278(7.7%)
3:447(12.4%)
4:693(19.2%)
5:1646(45.7%)
 0 (0.0%)
PFM9 [numeric]
Mean (sd) : 3.9 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:354(9.8%)
2:284(7.9%)
3:462(12.8%)
4:869(24.1%)
5:1632(45.3%)
 0 (0.0%)
PFM10 [numeric]
Mean (sd) : 3.2 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:844(23.4%)
2:440(12.2%)
3:566(15.7%)
4:670(18.6%)
5:1081(30.0%)
 0 (0.0%)
PFM12 [numeric]
Mean (sd) : 3.7 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:432(12.0%)
2:363(10.1%)
3:604(16.8%)
4:819(22.7%)
5:1383(38.4%)
 0 (0.0%)
PFM15 [numeric]
Mean (sd) : 3.5 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:604(16.8%)
2:370(10.3%)
3:599(16.6%)
4:787(21.9%)
5:1241(34.5%)
 0 (0.0%)
PFM16 [numeric]
Mean (sd) : 4.1 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:162(4.5%)
2:236(6.6%)
3:446(12.4%)
4:827(23.0%)
5:1930(53.6%)
 0 (0.0%)
PFM17 [numeric]
Mean (sd) : 3.5 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:467(13.0%)
2:440(12.2%)
3:648(18.0%)
4:971(27.0%)
5:1075(29.9%)
 0 (0.0%)
PFM18 [numeric]
Mean (sd) : 3.9 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:298(8.3%)
2:260(7.2%)
3:491(13.6%)
4:853(23.7%)
5:1699(47.2%)
 0 (0.0%)
PFM19 [numeric]
Mean (sd) : 3.8 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:459(12.7%)
2:275(7.6%)
3:434(12.1%)
4:673(18.7%)
5:1760(48.9%)
 0 (0.0%)
PFM21 [numeric]
Mean (sd) : 3.3 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:619(17.2%)
2:437(12.1%)
3:709(19.7%)
4:925(25.7%)
5:911(25.3%)
 0 (0.0%)
PFM23 [numeric]
Mean (sd) : 4.1 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:289(8.0%)
2:224(6.2%)
3:349(9.7%)
4:682(18.9%)
5:2057(57.1%)
 0 (0.0%)
PFM25 [numeric]
Mean (sd) : 4.1 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:307(8.5%)
2:182(5.1%)
3:404(11.2%)
4:826(22.9%)
5:1882(52.3%)
 0 (0.0%)
PFM26 [numeric]
Mean (sd) : 3.8 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:425(11.8%)
2:232(6.4%)
3:485(13.5%)
4:925(25.7%)
5:1534(42.6%)
 0 (0.0%)
PFM27 [numeric]
Mean (sd) : 3.2 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.5)
1:732(20.3%)
2:420(11.7%)
3:687(19.1%)
4:898(24.9%)
5:864(24.0%)
 0 (0.0%)
PFM28 [numeric]
Mean (sd) : 3.9 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:408(11.3%)
2:259(7.2%)
3:423(11.7%)
4:698(19.4%)
5:1813(50.3%)
 0 (0.0%)
PFM29 [numeric]
Mean (sd) : 3.8 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:407(11.3%)
2:284(7.9%)
3:453(12.6%)
4:873(24.2%)
5:1584(44.0%)
 0 (0.0%)
PFM32 [numeric]
Mean (sd) : 3.3 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:722(20.0%)
2:332(9.2%)
3:600(16.7%)
4:867(24.1%)
5:1080(30.0%)
 0 (0.0%)
PFM33 [numeric]
Mean (sd) : 3.3 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:672(18.7%)
2:423(11.7%)
3:630(17.5%)
4:878(24.4%)
5:998(27.7%)
 0 (0.0%)
PFM34 [numeric]
Mean (sd) : 4 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:271(7.5%)
2:297(8.2%)
3:410(11.4%)
4:882(24.5%)
5:1741(48.3%)
 0 (0.0%)
PFM35 [numeric]
Mean (sd) : 4.2 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:201(5.6%)
2:205(5.7%)
3:395(11.0%)
4:735(20.4%)
5:2065(57.3%)
 0 (0.0%)
PFM36 [numeric]
Mean (sd) : 3.3 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:815(22.6%)
2:348(9.7%)
3:567(15.7%)
4:769(21.4%)
5:1102(30.6%)
 0 (0.0%)
PFM37 [numeric]
Mean (sd) : 4.3 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:182(5.1%)
2:197(5.5%)
3:320(8.9%)
4:574(15.9%)
5:2328(64.6%)
 0 (0.0%)
PFM38 [numeric]
Mean (sd) : 3.4 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:546(15.2%)
2:452(12.6%)
3:684(19.0%)
4:865(24.0%)
5:1054(29.3%)
 0 (0.0%)
PFM40 [numeric]
Mean (sd) : 4.1 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:276(7.7%)
2:258(7.2%)
3:379(10.5%)
4:647(18.0%)
5:2041(56.7%)
 0 (0.0%)
PFM43 [numeric]
Mean (sd) : 3.8 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:336(9.3%)
2:311(8.6%)
3:520(14.4%)
4:854(23.7%)
5:1580(43.9%)
 0 (0.0%)
PFM44 [numeric]
Mean (sd) : 3.1 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.5)
1:788(21.9%)
2:518(14.4%)
3:726(20.2%)
4:793(22.0%)
5:776(21.5%)
 0 (0.0%)
PFM46 [numeric]
Mean (sd) : 3.4 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:556(15.4%)
2:469(13.0%)
3:695(19.3%)
4:884(24.5%)
5:997(27.7%)
 0 (0.0%)
PFM49 [numeric]
Mean (sd) : 3.3 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:661(18.4%)
2:424(11.8%)
3:666(18.5%)
4:836(23.2%)
5:1014(28.2%)
 0 (0.0%)
PFM51 [numeric]
Mean (sd) : 3.1 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.5)
1:808(22.4%)
2:435(12.1%)
3:676(18.8%)
4:841(23.4%)
5:841(23.4%)
 0 (0.0%)
PFM53 [numeric]
Mean (sd) : 3.3 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:689(19.1%)
2:382(10.6%)
3:735(20.4%)
4:862(23.9%)
5:933(25.9%)
 0 (0.0%)
LOI [numeric]
Mean (sd) : 841.2 (4578.7)
min ā‰¤ med ā‰¤ max:
106 ā‰¤ 434 ā‰¤ 130944
IQR (CV) : 263 (5.4)
 793 distinct values 1600 (44.4%)
fingerprint [character]
1. 003419ca5ef10d662fda4b04d
2. 004b58d1aa4fb8e1caa4aa7d2
3. 007a380b7dbfdad7d7892fce2
4. 007d9417fba0fee63cb44141c
5. 009b3a81ac60bc666001960fc
6. 00c8c92def3a68cb9f20a7fff
7. 00d33ea2e71e965b724993379
8. 012d1fa976b7e2aab3343d353
9. 0130fa05b996f75dfca54a647
10. 01476e16dd670bd3e9e29afa2
[ 1991 others ]
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1991(99.5%)
 1600 (44.4%)
complete [numeric] 1 distinct value
1:2001(100.0%)
 1600 (44.4%)
screen [numeric] 1 distinct value
0:2001(100.0%)
 1600 (44.4%)
quota [numeric] 1 distinct value
0:2001(100.0%)
 1600 (44.4%)
language [character]
1. DE
2. english
3. ES
1000(27.8%)
1600(44.4%)
1001(27.8%)
 0 (0.0%)
identifier [character]
1. 00071066-1ca4-67d4-6849-2
2. 00272517-61dc-e8a8-3538-1
3. 003b861e-39de-e864-3e31-b
4. 004d2a8d-024b-894f-30a2-1
5. 009e265f-1aab-4280-8677-1
6. 00a8a9bf-285b-8373-9f90-9
7. 00aa869b-e9af-29da-00b4-b
8. 00aff795-3c41-d89a-26bd-c
9. 00da43ee-6990-2e85-3ec6-7
10. 010968f2-0a8f-4cf3-0cdd-5
[ 1991 others ]
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1(0.0%)
1991(99.5%)
 1600 (44.4%)
edu_harmonized [character]
1. Basic Education
2. Higher Education
3. Primary education
4. Secondary Education
5. Upper secondary education
6. Vocational/Some College
115(3.2%)
1400(38.9%)
21(0.6%)
949(26.4%)
657(18.2%)
459(12.7%)
 0 (0.0%)
SD1HIDDEN [numeric]
Mean (sd) : 3.4 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 6
IQR (CV) : 3 (0.5)
1:185(11.6%)
2:372(23.2%)
3:291(18.2%)
4:274(17.1%)
5:250(15.6%)
6:228(14.2%)
 2001 (55.6%)
PFS1 [numeric]
Min : 1
Mean : 1.3
Max : 2
1:1172(73.2%)
2:428(26.8%)
 2001 (55.6%)
PFS2 [numeric]
Min : 1
Mean : 1.6
Max : 2
1:671(41.9%)
2:929(58.1%)
 2001 (55.6%)
PFC12 [numeric]
Mean (sd) : 3.8 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:115(7.2%)
2:174(10.9%)
3:263(16.4%)
4:347(21.7%)
5:701(43.8%)
 2001 (55.6%)
PFS3 [numeric]
Mean (sd) : 2.5 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:607(37.9%)
2:244(15.2%)
3:308(19.2%)
4:264(16.5%)
5:177(11.1%)
 2001 (55.6%)
PFC33R1 [numeric]
Mean (sd) : 2.1 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 2 (0.6)
1:786(49.1%)
2:260(16.2%)
3:243(15.2%)
4:200(12.5%)
5:111(6.9%)
 2001 (55.6%)
PFA1 [numeric]
Mean (sd) : 3.5 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:210(13.1%)
2:226(14.1%)
3:272(17.0%)
4:290(18.1%)
5:602(37.6%)
 2001 (55.6%)
PFA10 [numeric]
Mean (sd) : 4.2 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:102(6.4%)
2:119(7.4%)
3:137(8.6%)
4:246(15.4%)
5:996(62.3%)
 2001 (55.6%)
PFA11 [numeric]
Mean (sd) : 4.3 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:52(3.2%)
2:100(6.2%)
3:146(9.1%)
4:248(15.5%)
5:1054(65.9%)
 2001 (55.6%)
PFA13 [numeric]
Mean (sd) : 3.8 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:168(10.5%)
2:131(8.2%)
3:251(15.7%)
4:424(26.5%)
5:626(39.1%)
 2001 (55.6%)
PFA14R1 [numeric]
Mean (sd) : 4.3 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:85(5.3%)
2:78(4.9%)
3:165(10.3%)
4:270(16.9%)
5:1002(62.6%)
 2001 (55.6%)
PFA16R1 [numeric]
Mean (sd) : 4.7 (0.8)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:19(1.2%)
2:40(2.5%)
3:100(6.2%)
4:144(9.0%)
5:1297(81.1%)
 2001 (55.6%)
PFA17 [numeric]
Mean (sd) : 4.4 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:34(2.1%)
2:88(5.5%)
3:126(7.9%)
4:293(18.3%)
5:1059(66.2%)
 2001 (55.6%)
PFA18 [numeric]
Mean (sd) : 4.6 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:28(1.8%)
2:65(4.1%)
3:92(5.8%)
4:157(9.8%)
5:1258(78.6%)
 2001 (55.6%)
PFA20 [numeric]
Mean (sd) : 4.7 (0.7)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:13(0.8%)
2:44(2.8%)
3:68(4.2%)
4:107(6.7%)
5:1368(85.5%)
 2001 (55.6%)
PFA21 [numeric]
Mean (sd) : 4.3 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:64(4.0%)
2:111(6.9%)
3:139(8.7%)
4:261(16.3%)
5:1025(64.1%)
 2001 (55.6%)
PFA23 [numeric]
Mean (sd) : 4.4 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:74(4.6%)
2:88(5.5%)
3:102(6.4%)
4:184(11.5%)
5:1152(72.0%)
 2001 (55.6%)
PFA25 [numeric]
Mean (sd) : 4.2 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:85(5.3%)
2:125(7.8%)
3:180(11.2%)
4:265(16.6%)
5:945(59.1%)
 2001 (55.6%)
PFA28 [numeric]
Mean (sd) : 4.6 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:18(1.1%)
2:58(3.6%)
3:114(7.1%)
4:183(11.4%)
5:1227(76.7%)
 2001 (55.6%)
PFA29R1 [numeric]
Mean (sd) : 4.3 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:77(4.8%)
2:76(4.8%)
3:121(7.6%)
4:265(16.6%)
5:1060(66.3%)
 2002 (55.6%)
PFA31R1 [numeric]
Mean (sd) : 4.2 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:70(4.4%)
2:118(7.4%)
3:170(10.6%)
4:256(16.0%)
5:986(61.6%)
 2001 (55.6%)
PFA33 [numeric]
Mean (sd) : 3.8 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:170(10.6%)
2:149(9.3%)
3:231(14.4%)
4:386(24.1%)
5:664(41.5%)
 2001 (55.6%)
PFA38 [numeric]
Mean (sd) : 4.6 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:17(1.1%)
2:61(3.8%)
3:109(6.8%)
4:179(11.2%)
5:1234(77.1%)
 2001 (55.6%)
PFA39R1 [numeric]
Mean (sd) : 2.9 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:486(30.4%)
2:214(13.4%)
3:291(18.2%)
4:262(16.4%)
5:347(21.7%)
 2001 (55.6%)
PFA4 [numeric]
Mean (sd) : 4 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:111(6.9%)
2:152(9.5%)
3:227(14.2%)
4:275(17.2%)
5:835(52.2%)
 2001 (55.6%)
PFA41 [numeric]
Mean (sd) : 4.1 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:108(6.8%)
2:127(7.9%)
3:179(11.2%)
4:310(19.4%)
5:876(54.8%)
 2001 (55.6%)
PFA42 [numeric]
Mean (sd) : 4.3 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:78(4.9%)
2:95(5.9%)
3:140(8.8%)
4:246(15.4%)
5:1041(65.1%)
 2001 (55.6%)
PFA44 [numeric]
Mean (sd) : 4.7 (0.7)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.1)
1:7(0.4%)
2:33(2.1%)
3:82(5.1%)
4:130(8.1%)
5:1348(84.2%)
 2001 (55.6%)
PFA5 [numeric]
Mean (sd) : 4.3 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:38(2.4%)
2:125(7.8%)
3:155(9.7%)
4:228(14.2%)
5:1054(65.9%)
 2001 (55.6%)
PFA6 [numeric]
Mean (sd) : 4.6 (0.8)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:16(1.0%)
2:58(3.6%)
3:113(7.1%)
4:150(9.4%)
5:1263(78.9%)
 2001 (55.6%)
PFB1 [numeric]
Mean (sd) : 4.4 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:39(2.4%)
2:126(7.9%)
3:144(9.0%)
4:207(12.9%)
5:1084(67.8%)
 2001 (55.6%)
PFB11 [numeric]
Mean (sd) : 4.6 (0.9)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:23(1.4%)
2:70(4.4%)
3:108(6.8%)
4:148(9.2%)
5:1251(78.2%)
 2001 (55.6%)
PFB22 [numeric]
Mean (sd) : 4.7 (0.7)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:10(0.6%)
2:50(3.1%)
3:72(4.5%)
4:119(7.4%)
5:1349(84.3%)
 2001 (55.6%)
PFB24 [numeric]
Mean (sd) : 4 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:152(9.5%)
2:116(7.2%)
3:154(9.6%)
4:307(19.2%)
5:871(54.4%)
 2001 (55.6%)
PFB25 [numeric]
Mean (sd) : 4.7 (0.7)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:12(0.8%)
2:36(2.2%)
3:83(5.2%)
4:119(7.4%)
5:1350(84.4%)
 2001 (55.6%)
PFB26 [numeric]
Mean (sd) : 4.7 (0.7)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:15(0.9%)
2:31(1.9%)
3:88(5.5%)
4:119(7.4%)
5:1347(84.2%)
 2001 (55.6%)
PFB27 [numeric]
Mean (sd) : 4.7 (0.8)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:16(1.0%)
2:35(2.2%)
3:99(6.2%)
4:118(7.4%)
5:1332(83.2%)
 2001 (55.6%)
PFB33 [numeric]
Mean (sd) : 4.7 (0.8)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:12(0.8%)
2:47(2.9%)
3:82(5.1%)
4:120(7.5%)
5:1339(83.7%)
 2001 (55.6%)
PFB36 [numeric]
Mean (sd) : 4.7 (0.7)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:10(0.6%)
2:35(2.2%)
3:102(6.4%)
4:141(8.8%)
5:1312(82.0%)
 2001 (55.6%)
PFB44 [numeric]
Mean (sd) : 4.3 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:58(3.6%)
2:126(7.9%)
3:160(10.0%)
4:228(14.2%)
5:1028(64.2%)
 2001 (55.6%)
PFB48 [numeric]
Mean (sd) : 4.6 (0.8)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 0 (0.2)
1:17(1.1%)
2:54(3.4%)
3:108(6.8%)
4:134(8.4%)
5:1287(80.4%)
 2001 (55.6%)
PFB50 [numeric]
Mean (sd) : 4.3 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:24(1.5%)
2:139(8.7%)
3:169(10.6%)
4:344(21.5%)
5:924(57.8%)
 2001 (55.6%)
PFB51 [numeric]
Mean (sd) : 3.8 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:176(11.0%)
2:177(11.1%)
3:226(14.1%)
4:284(17.8%)
5:737(46.1%)
 2001 (55.6%)
PFB5R1 [numeric]
Mean (sd) : 3.7 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.4)
1:200(12.5%)
2:147(9.2%)
3:254(15.9%)
4:333(20.8%)
5:665(41.6%)
 2002 (55.6%)
PFB7 [numeric]
Mean (sd) : 3.6 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:215(13.4%)
2:193(12.1%)
3:263(16.4%)
4:283(17.7%)
5:646(40.4%)
 2001 (55.6%)
PFB8R1 [numeric]
Mean (sd) : 4.2 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:93(5.8%)
2:90(5.6%)
3:154(9.6%)
4:273(17.1%)
5:990(61.9%)
 2001 (55.6%)
PFB9 [numeric]
Mean (sd) : 4.2 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:84(5.2%)
2:128(8.0%)
3:125(7.8%)
4:258(16.1%)
5:1005(62.8%)
 2001 (55.6%)
PFC10 [numeric]
Mean (sd) : 4 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:96(6.0%)
2:179(11.2%)
3:214(13.4%)
4:299(18.7%)
5:812(50.7%)
 2001 (55.6%)
PFC32 [numeric]
Mean (sd) : 3.8 (1.3)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 2 (0.3)
1:135(8.4%)
2:171(10.7%)
3:212(13.2%)
4:367(22.9%)
5:715(44.7%)
 2001 (55.6%)
PFC35 [numeric]
Mean (sd) : 3.5 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:240(15.0%)
2:178(11.1%)
3:257(16.1%)
4:340(21.2%)
5:585(36.6%)
 2001 (55.6%)
PFC37 [numeric]
Mean (sd) : 4.3 (1.1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:53(3.3%)
2:121(7.6%)
3:143(8.9%)
4:210(13.1%)
5:1073(67.1%)
 2001 (55.6%)
PFC40 [numeric]
Mean (sd) : 4.2 (1.2)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.3)
1:76(4.8%)
2:126(7.9%)
3:154(9.6%)
4:297(18.6%)
5:947(59.2%)
 2001 (55.6%)
PFC41 [numeric]
Mean (sd) : 4.4 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:27(1.7%)
2:84(5.2%)
3:155(9.7%)
4:278(17.4%)
5:1056(66.0%)
 2001 (55.6%)
PFC6R1 [numeric]
Mean (sd) : 4.5 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:50(3.1%)
2:79(4.9%)
3:106(6.6%)
4:189(11.8%)
5:1175(73.5%)
 2002 (55.6%)
PFM5 [numeric]
Mean (sd) : 4.5 (1)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 5 ā‰¤ 5
IQR (CV) : 1 (0.2)
1:39(2.4%)
2:78(4.9%)
3:98(6.1%)
4:198(12.4%)
5:1187(74.2%)
 2001 (55.6%)
PFM8 [numeric]
Mean (sd) : 2.8 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:522(32.6%)
2:209(13.1%)
3:282(17.6%)
4:297(18.6%)
5:290(18.1%)
 2001 (55.6%)
PFM11 [numeric]
Mean (sd) : 2.5 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:718(44.9%)
2:173(10.8%)
3:190(11.9%)
4:249(15.6%)
5:270(16.9%)
 2001 (55.6%)
PFM13 [numeric]
Mean (sd) : 3.5 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 4 ā‰¤ 5
IQR (CV) : 3 (0.4)
1:304(19.0%)
2:157(9.8%)
3:218(13.6%)
4:336(21.0%)
5:585(36.6%)
 2001 (55.6%)
PFM14 [numeric]
Mean (sd) : 2.8 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:502(31.4%)
2:219(13.7%)
3:254(15.9%)
4:287(17.9%)
5:338(21.1%)
 2001 (55.6%)
PFM20 [numeric]
Mean (sd) : 2.6 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:599(37.4%)
2:226(14.1%)
3:300(18.8%)
4:227(14.2%)
5:248(15.5%)
 2001 (55.6%)
PFM22 [numeric]
Mean (sd) : 2.5 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:604(37.8%)
2:290(18.1%)
3:254(15.9%)
4:224(14.0%)
5:228(14.2%)
 2001 (55.6%)
PFM24 [numeric]
Mean (sd) : 3 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:455(28.4%)
2:188(11.8%)
3:273(17.1%)
4:296(18.5%)
5:388(24.2%)
 2001 (55.6%)
PFM30 [numeric]
Mean (sd) : 3.2 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 4 (0.5)
1:403(25.2%)
2:170(10.6%)
3:231(14.4%)
4:325(20.3%)
5:471(29.4%)
 2001 (55.6%)
PFM31 [numeric]
Mean (sd) : 2.5 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:644(40.2%)
2:252(15.8%)
3:240(15.0%)
4:220(13.8%)
5:244(15.2%)
 2001 (55.6%)
PFM39 [numeric]
Mean (sd) : 2.7 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:517(32.3%)
2:253(15.8%)
3:269(16.8%)
4:255(15.9%)
5:306(19.1%)
 2001 (55.6%)
PFM41 [numeric]
Mean (sd) : 2.6 (1.6)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:651(40.7%)
2:181(11.3%)
3:217(13.6%)
4:229(14.3%)
5:322(20.1%)
 2001 (55.6%)
PFM42 [numeric]
Mean (sd) : 3 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 2 (0.5)
1:379(23.7%)
2:244(15.2%)
3:318(19.9%)
4:326(20.4%)
5:333(20.8%)
 2001 (55.6%)
PFM45 [numeric]
Mean (sd) : 2.1 (1.4)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 1 ā‰¤ 5
IQR (CV) : 2 (0.7)
1:856(53.5%)
2:244(15.2%)
3:169(10.6%)
4:151(9.4%)
5:180(11.2%)
 2001 (55.6%)
PFM47 [numeric]
Mean (sd) : 2.7 (1.7)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:702(43.9%)
2:116(7.2%)
3:155(9.7%)
4:239(14.9%)
5:388(24.2%)
 2001 (55.6%)
PFM48 [numeric]
Mean (sd) : 2.2 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 1 ā‰¤ 5
IQR (CV) : 3 (0.7)
1:871(54.4%)
2:148(9.2%)
3:178(11.1%)
4:172(10.8%)
5:231(14.4%)
 2001 (55.6%)
PFM50 [numeric]
Mean (sd) : 2.8 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 3 ā‰¤ 5
IQR (CV) : 3 (0.5)
1:472(29.5%)
2:283(17.7%)
3:286(17.9%)
4:261(16.3%)
5:298(18.6%)
 2001 (55.6%)
PFM52 [numeric]
Mean (sd) : 2.6 (1.5)
min ā‰¤ med ā‰¤ max:
1 ā‰¤ 2 ā‰¤ 5
IQR (CV) : 3 (0.6)
1:536(33.5%)
2:273(17.1%)
3:300(18.8%)
4:252(15.8%)
5:239(14.9%)
 2001 (55.6%)
global_health_physical_2a_sum_score [numeric]
Mean (sd) : 7.6 (1.6)
min ā‰¤ med ā‰¤ max:
2 ā‰¤ 8 ā‰¤ 10
IQR (CV) : 2 (0.2)
2:8(0.4%)
3:29(1.4%)
4:60(3.0%)
5:118(5.9%)
6:232(11.6%)
7:341(17.0%)
8:553(27.6%)
9:473(23.6%)
10:187(9.3%)
 1600 (44.4%)
global_health_physical_2a_t_score [numeric]
Mean (sd) : 49.2 (8)
min ā‰¤ med ā‰¤ max:
23.4 ā‰¤ 50 ā‰¤ 63.3
IQR (CV) : 11 (0.2)
 9 distinct values 1600 (44.4%)
global_health_mental_2a_sum_score [numeric]
Mean (sd) : 7 (1.7)
min ā‰¤ med ā‰¤ max:
2 ā‰¤ 7 ā‰¤ 10
IQR (CV) : 2 (0.2)
2:13(0.6%)
3:44(2.2%)
4:101(5.0%)
5:220(11.0%)
6:379(18.9%)
7:395(19.7%)
8:440(22.0%)
9:256(12.8%)
10:153(7.6%)
 1600 (44.4%)
global_health_mental_2a_t_score [numeric]
Mean (sd) : 49.1 (7.8)
min ā‰¤ med ā‰¤ max:
25.8 ā‰¤ 48.6 ā‰¤ 64.6
IQR (CV) : 8.4 (0.2)
 9 distinct values 1600 (44.4%)
theta_free [numeric]
Mean (sd) : 0 (1)
min ā‰¤ med ā‰¤ max:
-3.7 ā‰¤ 0.1 ā‰¤ 2.5
IQR (CV) : 1.2 (1077)
 3427 distinct values 0 (0.0%)
t_free [numeric]
Mean (sd) : 50 (9.8)
min ā‰¤ med ā‰¤ max:
13.5 ā‰¤ 50.6 ā‰¤ 75.3
IQR (CV) : 12.3 (0.2)
 3427 distinct values 0 (0.0%)
theta_promis [numeric]
Mean (sd) : -0.1 (1.2)
min ā‰¤ med ā‰¤ max:
-3.5 ā‰¤ -0.1 ā‰¤ 2.6
IQR (CV) : 1.3 (-12)
 3405 distinct values 0 (0.0%)
t_promis [numeric]
Mean (sd) : 49 (11.7)
min ā‰¤ med ā‰¤ max:
14.6 ā‰¤ 49.2 ā‰¤ 75.8
IQR (CV) : 13.3 (0.2)
 3405 distinct values 0 (0.0%)

Generated by summarytools 1.0.1 (R version 4.2.2)
2024-03-19


Tables

Table 1: Sociodemographics

options(qwraps2_markup = 'markdown')

summaryStructureSociodemographics <-
  list("Age" =
         list("min"       = ~ min(age, na.rm = TRUE),
              "max"       = ~ max(age, na.rm = TRUE),
              "mean (sd)" = ~ qwraps2::mean_sd(age, 
                                               na_rm = TRUE, 
                                               show_n = "never"),
              "median" = ~  median(age, na.rm = TRUE)),
       
       "Sex, female" =
         list(
           "N (%)"  = ~ qwraps2::n_perc0(gender == 2, na_rm = TRUE)),
       
       "Education" =
         list("Basic Education" = ~ qwraps2::n_perc0(edu_harmonized == "Basic Education",  na_rm = TRUE),
              "Secondary Education"  = ~ qwraps2::n_perc0(edu_harmonized == "Secondary Education",  na_rm = TRUE),
              "Vocational/Some College"  = ~ qwraps2::n_perc0(edu_harmonized == "Vocational/Some College",  na_rm = TRUE),
              "Higher Education" = ~ qwraps2::n_perc0(edu_harmonized == "Higher Education",  na_rm = TRUE))
       
       # "Work status" no information for USA
       
       # Marital status " no information for USA
  )
dataComplete <- data_complete %>% 
  mutate(country_table = dplyr::recode(country,  "usa" = "USA", "ger" = "Germany", "arg" = "Argentina"),
         country_table1 = factor(country_table, levels = c("USA", "Germany", "Argentina")))

summaryTableSociodemopgraphics <- qwraps2::summary_table(dplyr::group_by(dataComplete, country_table1), summaryStructureSociodemographics)

print(summaryTableSociodemopgraphics, rtitle = "Sociodemographics")
Sociodemographics USA (N = 1600) Germany (N = 1000) Argentina (N = 1001)
Age Ā Ā  Ā Ā  Ā Ā 
Ā Ā  min 18 18 18
Ā Ā  max 88 69 69
Ā Ā  mean (sd) 44.27 Ā± 16.15 44.93 Ā± 14.54 35.58 Ā± 11.84
Ā Ā  median 43 46 34
Sex, female Ā Ā  Ā Ā  Ā Ā 
Ā Ā  N (%) 926 (58) 513 (51) 489 (49)
Education Ā Ā  Ā Ā  Ā Ā 
Ā Ā  Basic Education 115 (7) 0 (0) 0 (0)
Ā Ā  Secondary Education 398 (25) 285 (28) 266 (27)
Ā Ā  Vocational/Some College 459 (29) 0 (0) 0 (0)
Ā Ā  Higher Education 628 (39) 235 (24) 537 (54)


Table 2: PROMIS

options(qwraps2_markup = 'markdown')

summaryStructurePROMIS <-
  list("PROMIS Physical Function T-Score" =
         list("min"       = ~ round(min(t_promis, na.rm = TRUE),2),
              "Floor (%)"  = ~ qwraps2::n_perc0(t_promis == min(t_promis), na_rm = TRUE),
              "max"       = ~ round(max(t_promis, na.rm = TRUE),2),
              "Ceiling (%)"  = ~ qwraps2::n_perc0(t_promis == max(t_promis), na_rm = TRUE),
              "IQR"       = ~ round(IQR(t_promis, na.rm = TRUE),2),
              "mean (sd)"  = ~ qwraps2::mean_sd(t_promis, 
                                                na_rm = TRUE, 
                                                show_n = "never"),
              "median" = ~  round(median(t_promis, na.rm = TRUE),2)
         ),
       "PROMIS Global Health - Physical Health" =
         list(#"min"       = ~ min(GLOBAL03, na.rm = TRUE),
           #"max"       = ~ max(GLOBAL03, na.rm = TRUE),
           #"IQR"       = ~ IQR(GLOBAL03, na.rm = TRUE),
           "mean (sd)"  = ~ qwraps2::mean_sd(global_health_physical_2a_t_score, 
                                             na_rm = TRUE, 
                                             show_n = "never"),
           "median" = ~  median(global_health_physical_2a_t_score, na.rm = TRUE)
         ), 
       "PROMIS Global Health - Mental Health" =
         list(#"min"       = ~ min(GLOBAL04, na.rm = TRUE),
           #"max"       = ~ max(GLOBAL04, na.rm = TRUE),
           #"IQR"       = ~ IQR(GLOBAL04, na.rm = TRUE),
           "mean (sd)"  = ~ qwraps2::mean_sd(global_health_mental_2a_t_score, 
                                             na_rm = TRUE, 
                                             show_n = "never"),
           "median" = ~  median(global_health_mental_2a_t_score, na.rm = TRUE)
         )#,
  )


summaryTable <- qwraps2::summary_table(dplyr::group_by(dataComplete, country_table1), summaryStructurePROMIS)

print(summaryTable, rtitle = "PROMIS Summary Statistics")
PROMIS Summary Statistics USA (N = 1600) Germany (N = 1000) Argentina (N = 1001)
PROMIS Physical Function T-Score Ā Ā  Ā Ā  Ā Ā 
Ā Ā  min 14.56 14.56 20.05
Ā Ā  Floor (%) 12 (1) 6 (1) 1 (0)
Ā Ā  max 75.75 75.75 75.75
Ā Ā  Ceiling (%) 90 (6) 27 (3) 21 (2)
Ā Ā  IQR 16.62 13.48 9.92
Ā Ā  mean (sd) 48.08 Ā± 13.35 49.17 Ā± 11.25 50.41 Ā± 8.59
Ā Ā  median 48.31 49.42 49.86
PROMIS Global Health - Physical Health Ā Ā  Ā Ā  Ā Ā 
Ā Ā  mean (sd) NaN Ā± NA 48.27 Ā± 7.90 50.04 Ā± 8.03
Ā Ā  median NA 50 50
PROMIS Global Health - Mental Health Ā Ā  Ā Ā  Ā Ā 
Ā Ā  mean (sd) NaN Ā± NA 47.65 Ā± 7.81 50.57 Ā± 7.54
Ā Ā  median NA 48.6 48.6

Demographics

#### Demographics, score distribution, and missing data frequency ####

# Dataset dimensions
dim(data_complete)
[1] 3601  149

Age

data_complete %>%
  dplyr::select(age, country) %>%
  dplyr::group_by(country) %>%
  dplyr::summarize(
    mean_age = mean(age, na.rm = TRUE),
    median_age = median(age, na.rm = TRUE),
    min_age = min(age, na.rm = TRUE),
    max_age = max(age, na.rm = TRUE),
    n = n()  # Count of observations per group
  )
# A tibble: 3 Ɨ 6
  country mean_age median_age min_age max_age     n
  <chr>      <dbl>      <dbl>   <dbl>   <dbl> <int>
1 arg         35.6         34      18      69  1001
2 ger         44.9         46      18      69  1000
3 usa         44.3         43      18      88  1600
data_complete %>% filter(age <= 69) %>%
  dplyr::select(age, country) %>%
  dplyr::group_by(country) %>%
  dplyr::summarize(
    mean_age = mean(age, na.rm = TRUE),
    median_age = median(age, na.rm = TRUE),
    min_age = min(age, na.rm = TRUE),
    max_age = max(age, na.rm = TRUE),
    n = n()  # Count of observations per group
  )
# A tibble: 3 Ɨ 6
  country mean_age median_age min_age max_age     n
  <chr>      <dbl>      <dbl>   <dbl>   <dbl> <int>
1 arg         35.6         34      18      69  1001
2 ger         44.9         46      18      69  1000
3 usa         42.0         40      18      69  1486
ggplot(data_complete, aes(x = country, y = age, fill = country)) +
  geom_boxplot() +
  theme_minimal() +
  labs(title = "Age Distribution by Country", x = "Country", y = "Age") +
  theme(axis.text.x = element_text(angle = 45, hjust = 1))

Gender

data_complete %>%
  dplyr::select(gender, country) %>%
  dplyr::group_by(country) %>%
  dplyr::summarize(
    female_percent = mean(gender-1, na.rm = TRUE) *100,
    n = n()  # Count of observations per group
  )
# A tibble: 3 Ɨ 3
  country female_percent     n
  <chr>            <dbl> <int>
1 arg               51.0  1001
2 ger               51.9  1000
3 usa               57.9  1600
histo(data_complete, "gender")

Country

table(data_complete$country)

 arg  ger  usa 
1001 1000 1600 
histo(data_complete, "country")

Education

table(data_complete$edu_harmonized)

          Basic Education          Higher Education         Primary education 
                      115                      1400                        21 
      Secondary Education Upper secondary education   Vocational/Some College 
                      949                       657                       459 
histo(data_complete, "edu_harmonized")

Employment

summary(data_complete$employment)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
  1.000   1.000   2.000   2.685   4.000   9.000    1600 
table(data_complete$employment)

  1   2   3   4   5   6   9 
888 290 217 167 183 211  45 
histo(data_complete, "employment")

work_hrs

summary(data_complete$work_hrs)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
   0.00    5.00   30.00   24.23   40.00   96.00    1600 
table(data_complete$work_hrs)

  0   1   2   3   4   5   6   7   8   9  10  11  12  13  14  15  16  17  18  19 
433  11   7  14  24  36  32   8  68   9  48   4  28   1   5  32   9   1   8   4 
 20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35  36  37  38  39 
 85   3   4   3  21  48   5   1  10   5 139   1  12   2   4 100  52   9  46  35 
 40  41  42  43  44  45  46  48  49  50  51  52  54  55  56  59  60  64  65  68 
384  15  19   2  26  56   2  52   3  24   3   3   3   1   6   2  17   1   2   1 
 70  72  78  89  93  96 
  4   4   1   1   1   1 
histo(data_complete, "work_hrs")

household_size_t1

table(data_complete$household_size_t1)

   0    1    2    3    4    5    6    7    9   10   25   34 
   3  437 1035  305  134   51   20    9    2    3    1    1 
histo(data_complete, "household_size_t1")

household_size_t2

table(data_complete$household_size_t2)

   0    1    2    3    4    5    6    7    8   10   28   33   40 
1137  436  297   93   19   12    1    1    1    1    1    1    1 
histo(data_complete, "household_size_t2")

GL03-06

summary(data_complete$GL03)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
  1.000   3.000   3.000   3.368   4.000   5.000    1600 
table(data_complete$GL03)

  1   2   3   4   5 
 74 281 720 686 240 
histo(data_complete, "GL03")

# GL04
table(data_complete$GL04)

  1   2   3   4   5 
 39 221 598 756 387 
histo(data_complete, "GL04")

# GL05
table(data_complete$GL05)

  1   2   3   4   5 
 60 275 712 695 259 
histo(data_complete, "GL05")

# GL06
table(data_complete$GL06)

   1    2    3    4    5 
  27   97  311  461 1105 
histo(data_complete, "GL06")


Inspect T-Scores and Item Responses

Figure T-score distribution and item responses

grouping_vector <- c("usa", "ger", "arg")
items <- filter_items(data_complete, 
                      countries = grouping_vector)

data_viz <- data_complete %>% 
  mutate(country = case_match(country,
                              "arg" ~ "Argentina", 
                              "usa" ~ "USA", 
                              "ger" ~ "Germany")) %>% 
  dplyr::select(
    country,
    country_vector,
    age,
    names(items),
    t_promis)

data_viz_long <- data_viz %>% 
  pivot_longer(cols = PFM1:PFM53,
               names_to = "item")

Item Response Plot

item_responses <- data_viz_long %>% 
  ggplot(
    
    aes(x=factor(item,
                 levels = rev(c("PFM1", "PFM2", "PFM3", "PFM4", "PFM6", "PFM7", "PFM9", "PFM10", 
                                "PFM12", "PFM15", "PFM16", "PFM17", "PFM18", "PFM19", "PFM21", 
                                "PFM23", "PFM25", "PFM26", "PFM27", "PFM28", "PFM29", "PFM32", 
                                "PFM33", "PFM34", "PFM35", "PFM36", "PFM37", "PFM38", "PFM40", 
                                "PFM43", "PFM44", "PFM46", "PFM49", "PFM51", "PFM53"))))) +
  geom_bar(aes(fill=rev(as.factor(value))), position="fill") +
  
  scale_y_continuous(expand=expansion(0), labels=scales::percent_format()) +
  labs(
    title='Item Responses', 
    subtitle='PROMIS Physical Functioning',
    x='Items', 
    y='% Responses'
  ) +
  scale_fill_brewer(name = "", 
                    labels = c("Unable", 
                               "Much Difficulty", 
                               "Some Difficulty", 
                               "Little Difficulty",
                               "No Difficulty"),
                    palette='Spectral', 
                    direction=1) +
  theme_classic()+
  theme(legend.position='top') + 
  guides(fill = guide_legend(reverse=TRUE)) +
  facet_wrap(~country) + 
  coord_flip() +
  theme(
    # This is the new default font in the plot
    text = element_text(
      #family = "Arial", 
      size = 8, color = "black"),
    plot.title = element_text(
      #family = "Arial", 
      size = 15,
      face = "bold",
      color = "#2a475e"
    ),
    # Statistical annotations below the main title
    plot.subtitle = element_text(
      #family = "Arial", 
      size = 10, 
      face = "bold",
      color="#1b2838"
    ),
    plot.title.position = "plot", # slightly different from default
    axis.text = element_text(size = 10, color = "black"),
    axis.title = element_text(size = 12)
  ) +
  theme(
    axis.ticks = element_blank(),
    axis.line = element_line(colour = "grey50"),
    panel.grid.minor = element_blank(),
    panel.grid.major.x = element_blank(),
    panel.grid.major.y = element_line(linetype = "dashed")
  )

Distribution of T-Scores

# Calculate median for each country
medians <- data_viz %>%
  group_by(country) %>%
  dplyr::summarize(median_t_promis = median(t_promis)) 

# Initialize an empty data frame to store density at medians
density_at_medians <- data.frame(country = character(), median_t_promis = numeric(), density = numeric())

# Calculate the density at these median points for each country
for (country_name in unique(data_viz$country)) {
  data_country <- data_viz[data_viz$country == country_name, ]
  density_obj <- density(data_country$t_promis)
  
  median_val <- medians$median_t_promis[medians$country == country_name]
  median_density <- approx(density_obj$x, density_obj$y, xout = median_val)$y
  
  density_at_medians <- rbind(density_at_medians, data.frame(country = country_name, median_t_promis = median_val, density = median_density))
}
# Find the range of your data
data_range <- range(data_viz$t_promis, na.rm = TRUE)

# Plotting
distribution_plot <- data_viz %>%
  ggplot(aes(x = t_promis, group = country)) +
  geom_density(aes(color = country, linetype = country), alpha = 0.6, adjust = 1) +  # adjust parameter controls smoothness
  geom_segment(data = density_at_medians, aes(x = median_t_promis, xend = median_t_promis, y = 0, yend = density, color = country), linetype = "dashed") +
  scale_color_manual(values = c("USA" = "black", "Argentina" = "green", "Germany" = "red")) +
  scale_linetype_manual(values = c("USA" = "solid", "Argentina" = "dotted", "Germany" = "dashed")) +
  viridis::scale_fill_viridis(discrete = TRUE) +
  scale_x_continuous(breaks = c(20, 30, 40, 50, 60, 70, 80), limits = c(data_range[1] - 10, data_range[2] + 10)) +  # Extend the x-axis limits
  labs(
    x = 'T-scores',
    y = 'Density',
    title = 'Distribution of PROMIS Physical Function T-Scores',
    color = "Country",
    linetype = "Country"
  ) +
  guides(
    #linetype = guide_legend(title = NULL)  # Uncomment this to remove linetype legend title
  ) +
  theme_classic() +
  theme(
    panel.border = element_rect(color = "black", fill = NA, linewidth = 1),
    panel.background = element_blank(),
    axis.line = element_line(color = "black"),
    legend.position = c(.999, .999),
    legend.justification = c("right", "top"),
    legend.background = element_rect(color = "black", fill = "white", size = 0.5),
    legend.box.background = element_blank(),
    legend.box.margin = margin(0, 0, 0, 0)
  )
ggstatsplot::ggbetweenstats(
  data = data_viz,
  x = country,
  y = t_promis,
  p.adjust.method = "bonferroni",
  pairwise.display = "all",
  type = "nonparametric"
)

Distribution of T-Scores including stats

plot_t_scores <-  ggstatsplot::ggbetweenstats(
  data = data_viz,
  x = country,
  y = t_promis,
  p.adjust.method = "bonferroni",
  pairwise.display = "all",
  type = "nonparametric"
) + 
  # Add labels and title
  labs(
    x = "Country",
    y = "PROMIS Ceiling Physical Function Items",
    title = "Distribution of PROMIS Ceiling Physical Function T-Scores"
  ) + 
  # Customizations
  theme(
    # This is the new default font in the plot
    text = element_text(family = "Roboto", size = 8, color = "black"),
    plot.title = element_text(
      family = "Roboto", 
      size = 15,
      face = "bold",
      color = "#2a475e"
    ),
    # Statistical annotations below the main title
    plot.subtitle = element_text(
      family = "Roboto", 
      size = 10, 
      face = "bold",
      color="#1b2838"
    ),
    plot.title.position = "plot", # slightly different from default
    axis.text = element_text(size = 10, color = "black"),
    axis.title = element_text(size = 12)
  ) +
  theme(
    axis.ticks = element_blank(),
    axis.line = element_line(colour = "grey50"),
    panel.grid.minor = element_blank(),
    panel.grid.major.x = element_blank(),
    panel.grid.major.y = element_line(linetype = "dashed")
  )

plot_t_scores

Combine plots

plot_item_responses <- cowplot::plot_grid(plot_t_scores, item_responses, ncol = 1)
plot_item_responses